Socious: AI-Based Job Matching for Social Good

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Socious: AI-Based Job Matching for Social Good

Funding Awarded

$50,000 USD

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Status

  • Overall Status

    🛠️ In Progress

  • Funding Transfered

    $22,000 USD

  • Max Funding Amount

    $50,000 USD

Funding Schedule

View Milestones
Milestone Release 1
$10,000 USD Transfer Complete 05 Jan 2024
Milestone Release 2
$12,000 USD Transfer Complete 02 Feb 2024
Milestone Release 3
$14,000 USD Pending TBD
Milestone Release 4
$5,000 USD Pending TBD
Milestone Release 5
$9,000 USD Pending TBD

Video Updates

Socious: AI-Based Job Matching For Social Good

30 January 2024

Project AI Services

No Service Available

Overview

Socious is addressing the gap between young people's desire to use their skills for social and environmental good and their ability to find such jobs. Their innovative AI solution curates purpose-driven jobs and matches them with individuals based on their passion and skills. By considering social causes, they aim to create a more meaningful match between talent and impact jobs. Socious operates as a Decentralized Autonomous Organization (DAO) and aligns with SingularityNET's vision of decentralized AI for a beneficial Singularity. They have achieved significant traction, listing over 70,000 impact jobs, registering 22,000 impact organizations, and attracting over 5,000 purpose-driven professionals. Their project milestones include solution architecture, completing the Impact Job Detector and Matching Engine, SingularityNET platform onboarding, and marketing efforts. Socious plans to launch a utility token, THANK, and allocate 10% of the pre-seed round allocation to SNET/Deep Funding to support their mission further.

Proposal Description

Compnay Name

Socious

Service Details

, but only

. One of the causes is that they can't find jobs that align with their purpose and skills. Socious AI curates purpose-driven jobs and matches them with talented individuals based on their passion for social and environmental causes, as well as their skills.

Problem Description

The problem that our project aims to address is the significant gap between the desire of young people to use their skills for good and their ability to do so. Despite

, only

. This disparity is largely attributed to the difficulty in finding impact jobs among millions of job postings that include both impact and non-impact jobs. Current job search platforms lack necessary filtering options and matching mechanisms, making the job search process cumbersome and time-consuming. As a result, young individuals often spend hours sifting through thousands of irrelevant listings, which hinders their aspirations to make a difference.

Significance of Solving the Problem: Addressing this problem is crucial for several reasons. First, it will enable a larger percentage of young people to contribute positively to society, thereby fostering a more compassionate, just, and sustainable world. Second, it will optimize the job search process, reducing the time and effort wasted on irrelevant job listings, and consequently increasing overall productivity. Lastly, by facilitating the match between job seekers and impact jobs, we can ensure that organizations with a focus on social good are able to secure the skilled and passionate workforce they need to achieve their missions.

Alignment with SingularityNET's Vision and Mission: Socious, as a Decentralized Autonomous Organization (DAO), aligns seamlessly with SingularityNET's vision and mission. By harnessing the power of decentralized AI, Socious will create a more efficient and fair job matching platform, contributing to a fairer distribution of power, value, and technology in the global commons. Additionally, by facilitating the connection between young individuals and impact jobs, Socious contributes to the creation of a more compassionate, just, and sustainable world, which is in line with SingularityNET's objective of creating a beneficial AI network. Moreover, by operating as a DAO and open-sourcing our solution, Socious contributes to the foundation for the emergence of decentralized human-level intelligence, as advocated by SingularityNET.

Solution Description

Socious is a decentralized autonomous organization that leverages Machine Learning (ML) algorithms to match purpose-driven talent with impact jobs and organizations. Our innovative approach considers not only the skills, experience, and location of individuals but also their passion for social and environmental causes. This ensures that talent finds jobs that are meaningful to them and the world, while organizations can hire individuals who are genuinely passionate about their mission.

Our solution comprises two distinct components:

  1. Impact Job Detector: An AI Model using Natural Language Processing (NLP) to detect impact jobs. Our 'Smart Aggregator' curates a selection of impact job opportunities that align with your skills, interests, and passion for driving change, thereby alleviating the stress of searching for impact jobs.

  2. Impact Job Matching: A ML-based recommender engine that matches purpose-driven talent with impact jobs. Our engine learns from users' behaviors on the Socious app, including posts, likes, comments, shares, and connections, to understand their passion and match them with suitable job opportunities.

Project Benefits for SNET AI platform

Our solution aligns with SingularityNET's mission of developing decentralized AI for a beneficial technological Singularity. By open-sourcing our ML-based recommender engine, we contribute to the development of decentralized human-level intelligence and enable other organizations to benefit from our work, thereby creating a more compassionate, just, and sustainable world.

Milestone & Budget

Milestone 1 (2 months)

  • Milestone Name: UI/UX Research, Design, and Solution Architecture

  • Milestone Description: This phase involves comprehensive UI/UX research and design of the solution architecture. We aim to understand the kind of data we should collect, how we should collect them, and how we can serve the matching recommendations (e.g., push notifications vs feed, timing, etc.).

  • Milestone Deliverable:

    • Completed design file in Figma

    • Completed solution architecture schema and a data flow chart

  • Deliverable Description:

    • Preliminary User Interviews: $1,500

      • Preparation, conducting interviews, and analysis

    • Brainstorming and Ideation: $500

      • Team meetings, brainstorming sessions, and initial concept development

    • Prototype Creation: $2,000

      • Development of initial prototypes for user research

    • User Research/Interviews: $1,500

      • Conducting research/interviews using the prototypes and analyzing the findings

    • Finalize UI/UX Design: $2,000

      • Finalizing the design based on user feedback and preparing production-ready design in Figma

    • Solution Architecture and Data Flow Design: $1,500

      • Designing the solution architecture, data flow chart, content validation/eligibility, execution parameters, and exploring different models and solutions

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $10,000

Milestone 2 (2 months)

  • Milestone Name: Complete Impact Job Detector

  • Milestone Description: This milestone involves the completion of Impact Job Detector, a tool that uses artificial intelligence (AI) algorithms to curate a selection of impact job opportunities. The AI is trained using existing data on impact jobs, searches the web (e.g., Google Jobs) to identify impact jobs, aggregates them, and then lists them on the Socious platform.

  • Milestone Deliverable: Fully functional Impact Job Detector tested and deployed.

  • Deliverable Description: Impact Job Detector will be fully operational, trained, and tested. It will be able to collect jobs from the web, identify impact jobs, aggregate them, and list them on the Socious platform. Users will be able to see a curated list of impact jobs on the Socious app.

    • AI Training: $3,500

      • Training the AI using sample impact jobs from Idealist, ReliefWeb, and impact jobs posted natively on Socious.

    • Job Collector: $3,000

      • Development of the job collector tool that collects jobs from the web and identifies impact jobs.

    • Integration and Listing: $1,500

      • Integrating the aggregated jobs into the Socious platform and listing them appropriately.

    • Testing: $500

      • Testing the entire process from job collection to listing on the platform.

    • Deployment: $500

      • Deploying it to production.

    • Hosting/API Call Usage: $2,000

      • Cost associated with hosting the service and/or API call expenses.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $12,000

Links:

Milestone 3 (2 months)

  • Milestone Name: Complete Impact Job Matching Engine

  • Milestone Description: This milestone involves completing the development of an Impact Job Matching Engine. This engine will recommend impact jobs to talent on the Socious platform, matching them based on their skills, interests, and passions. This will involve integrating user profile data, interaction data, job data, and organization data to build a comprehensive recommendation engine.

  • Milestone Deliverable: A fully functional and integrated Impact Job Matching Engine.

  • Deliverable Description: The Impact Job Matching Engine will be completely built, tested, and integrated into the Socious platform. It will utilize user profile data, interaction data, job data, and organization data to recommend the most suitable impact jobs to talent registered on the Socious platform.

    • Data Integration: $4,000

      • Integrating user profile data, interaction data, job data, and organization data.

    • Recommendation Engine Development: $4,500

      • Building the recommendation engine that will match impact jobs to talent.

    • Testing: $1,500

      • Testing the recommendation engine to ensure it is recommending the most suitable jobs.

    • Integration: $500

      • Integrating the recommendation engine into the Socious platform.

    • Deployment: $500

      • Deploying the Impact Job Matching Engine to production.

    • Hosting/API Call Usage: $2,000

      • Cost associated with hosting the service and/or API call expenses.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $14,000

Milestone 4 (2 months)

  • Milestone Name: SingularityNET Platform Onboarding

  • Milestone Description: This milestone involves the process of onboarding our Impact Job Matching Engine onto the SingularityNET platform. This includes all the necessary steps for integration with SingularityNET's infrastructure, from setting up the hosting environment, to configuring API calls, and interacting with the SNET internal team to ensure successful integration.

  • Milestone Deliverable: Successfully onboarded Impact Job Matching Engine onto the SingularityNET platform.

  • Deliverable Description: The Impact Job Matching Engine is successfully integrated and functioning on the SingularityNET platform. All necessary interactions with the SNET internal team have been completed, and the service is live and operational.

    • Hosting/API Call Usage: $1,000

      • Covering the costs associated with hosting the service and making API calls.

    • Integration: $2,000

      • All the activities involved in integrating the service with the SingularityNET platform, including configuring the hosting environment, setting up API calls, and ensuring compatibility with the platform.

    • Interactions with SNET Internal Team: $1,000

      • Costs associated with interactions with the SingularityNET internal team for integration and onboarding.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase.

  • Milestone Related Budget: $5,000

Milestone 5 (Final-2 months)

  • Milestone Name: Marketing

  • Milestone Description: This phase will focus on promoting the service. Marketing campaigns will be launched, and efforts will be made to build partnerships. Continuous improvement will be sought through a user feedback loop.

  • Milestone Deliverable: Launched marketing campaigns, established partnerships, and implemented user feedback loop.

  • Deliverable Description: Marketing campaigns will be successfully launched, partnerships will be established, and a user feedback loop will be implemented for continuous improvement.

    • Hosting/API Call Usage: $7,500

      • Costs associated with hosting the service and making API calls.

    • Marketing Campaigns: $500

      • Costs associated with launching marketing campaigns to promote the service.

    • Partnership Building: $500

      • Costs associated with efforts to build partnerships.

    • Contingency: $500

      • A contingency budget to cover any unforeseen expenses that may arise during this phase.

  • Milestone Related Budget: $9,000

Revenue Sharing

We have planned for a token launch in Q1 2024 with our utility token, THANK, designed for the Socious platform. THANK token holders can invest, lend, donate to impact organizations on Socious, purchase sustainable products, and earn more THANK through staking or contributing to the decentralized platform - including content moderation, verification, and dispute resolution. Further details of the tokenomics can be found in our whitepaper

.

As a gesture of goodwill and commitment to the success of our project, if awarded by Deep Funding, we will voluntarily allocate 500 million THANKs, which is 10% of the pre-seed round allocation, to SNET/Deep Funding.

Marketing & Competition

Market Analysis According to a Porter Novelli

, 93% of employees want companies to lead with Purpose, and 88% want companies to positively impact society. This shift towards purpose-driven work is further highlighted by a Gartner

predicting a workforce more driven by purpose and passion, not just money. Additionally, a recent

indicated that 42% of Gen Zs would prefer working at a company that gives them a sense of purpose rather than one that pays more.

Target Audience Our target audience is millennials and Gen Zs who are seeking to use their skills for social and environmental good. In the context of the

, many have quit their corporate jobs in search of meaningful work where they can make a difference for the world and for their well-being. Gen Z, born between 1997 to 2012, is on track to surpass Millennials as the most populous generation, with experts estimating they will make up 30% of the global workforce in 2030.

Competitors and Socious’ Advantages Our main competitors include Upwork and Work for Impact. Socious has a significant advantage over Upwork as we focus on purpose-driven talent and impact jobs, whereas Upwork is a general freelance platform. For instance, Upwork’s ML-based algorithms match freelancers with gigs based on their skills and experience, while Socious’ recommender engine also considers the talent’s passion for social causes. Moreover, Socious uses blockchain-based incentive mechanisms, including impact points and THANK tokens. Freelancers earn impact points when working for impact organizations and get rewarded in crypto tokens. Because Socious is transitioning to a Decentralized Autonomous Organization (DAO), users can vote on important matters such as treasury fund allocation. Upwork does not have these features. Although Work for Impact is focused on impact organizations like Socious, it does not have an ML-based recommender engine or blockchain-based incentive/DAO mechanisms.

Go-to-market Strategy Our strategy is to focus on specific target segments first and then expand to other segments. Initially, we are targeting climate tech companies and connecting them with tech talent. We list as many impact jobs as possible on the platform and then onboarded purpose-driven talent. Our growth strategy is based on three main pillars: partnerships, content marketing, and community building.

Partnerships: We aim to onboard many impact startups (and their jobs/gigs) in bulk by partnering with networks of impact startups such as venture capital firms with impact startups in their portfolio. For example, we have partnered with 500 Startups, Hustle Fund, Shizen Capital and many others to onboard their portfolio impact startups on our platform.

Content Marketing: We are creating shareable content to raise awareness of Socious organically. For instance, we have launched a web magazine,

, through which we interview social changemakers and highlight their passion, struggles, and life lessons.

Community Building: We are fostering a sense of community by organizing events, job fairs, and referral programs. For example, there are incentives to refer friends to join our community or refer jobs to their friends.

Current Traction

Thanks to our robust go-to-market strategy, we have successfully listed more than 70,000 impact jobs on our platform, registered over 22,000 impact organizations, and attracted more than 5,000 purpose-driven professionals. Collectively, these individuals have contributed over 3,000 hours to various impact organizations, and we are now generating revenue.

Furthermore, we have been selected to participate in several prestigious acceleration programs, including:

  • Microsoft for Startups

  • 500 Startups

  • Milkomeda Incubator

  • X-Hub Tokyo’s Global Startup Accelerator’s Europe Outbound Program, sponsored by the Tokyo Metropolitan Government

  • X-Hub Tokyo’s Global Startup Accelerator’s UK Outbound Program, sponsored by the Tokyo Metropolitan Government

  • Got funded and completed 5 Project Catalyst projects

These achievements not only validate our business model but also demonstrate the significant demand for a platform that connects purpose-driven professionals with impact organizations.

Please see our

and

.

 

Related Links

Website: https://socious.io

Various Links: https://linktr.ee/socious

Long Description

Company Name

Socious

Summary

, but only

. One of the causes is that they can't find jobs that align with their purpose and skills. Socious AI curates purpose-driven jobs and matches them with talented individuals based on their passion for social and environmental causes, as well as their skills.

Funding Amount

$50,000

The Problem to be Solved

Problem Definition: The problem that our project aims to address is the significant gap between the desire of young people to use their skills for good and their ability to do so. Despite

, only

. This disparity is largely attributed to the difficulty in finding impact jobs among millions of job postings that include both impact and non-impact jobs. Current job search platforms lack necessary filtering options and matching mechanisms, making the job search process cumbersome and time-consuming. As a result, young individuals often spend hours sifting through thousands of irrelevant listings, which hinders their aspirations to make a difference.

Significance of Solving the Problem: Addressing this problem is crucial for several reasons. First, it will enable a larger percentage of young people to contribute positively to society, thereby fostering a more compassionate, just, and sustainable world. Second, it will optimize the job search process, reducing the time and effort wasted on irrelevant job listings, and consequently increasing overall productivity. Lastly, by facilitating the match between job seekers and impact jobs, we can ensure that organizations with a focus on social good are able to secure the skilled and passionate workforce they need to achieve their missions.

Alignment with SingularityNET's Vision and Mission: Socious, as a Decentralized Autonomous Organization (DAO), aligns seamlessly with SingularityNET's vision and mission. By harnessing the power of decentralized AI, Socious will create a more efficient and fair job matching platform, contributing to a fairer distribution of power, value, and technology in the global commons. Additionally, by facilitating the connection between young individuals and impact jobs, Socious contributes to the creation of a more compassionate, just, and sustainable world, which is in line with SingularityNET's objective of creating a beneficial AI network. Moreover, by operating as a DAO and open-sourcing our solution, Socious contributes to the foundation for the emergence of decentralized human-level intelligence, as advocated by SingularityNET.

Our Solution

Socious is a decentralized autonomous organization that leverages Machine Learning (ML) algorithms to match purpose-driven talent with impact jobs and organizations. Our innovative approach considers not only the skills, experience, and location of individuals but also their passion for social and environmental causes. This ensures that talent finds jobs that are meaningful to them and the world, while organizations can hire individuals who are genuinely passionate about their mission.

Our solution comprises two distinct components:

  1. Impact Job Detector: An AI Model using Natural Language Processing (NLP) to detect impact jobs. Our 'Smart Aggregator' curates a selection of impact job opportunities that align with your skills, interests, and passion for driving change, thereby alleviating the stress of searching for impact jobs.

  2. Impact Job Matching: A ML-based recommender engine that matches purpose-driven talent with impact jobs. Our engine learns from users' behaviors on the Socious app, including posts, likes, comments, shares, and connections, to understand their passion and match them with suitable job opportunities.

How It Works

  1. Data Collection: Users provide information about themselves and their preferences by answering a short questionnaire when they sign up and interacting with the app. This information includes social causes they are passionate about, location, skills, experience, education, and more. Additionally, we collect data on job and organization profiles and their interactions on the app.

  2. Job Detection: Our AI, trained using existing data on impact jobs, searches the web to identify, aggregate, and list impact jobs on the Socious platform.

  3. Job Matching: Our ML-based recommender engine uses a mixture of methods such as Jaccard similarity, semantic similarity, and score card model to match purpose-driven talent with impact jobs.

Our solution does not require much effort from talent or organizations as the ML-based recommender engine operates seamlessly in the background, learning from users' interactions on the app to continuously improve the matching recommendations.

Ensuring the Quality and Reliability of the Impact Job Detector

To guarantee the highest quality of social impact job postings, we follow a meticulously crafted protocol that scrutinizes both the posting organizations and the content of the job advertisements themselves. Here's how we go about it:

  1. Verification of Posting Organizations: We validate that the job ads originate from verified impact organizations or recognized departments like Sustainability or Diversity and Inclusion within organizations, hence designating them as impact jobs.

  2. Content Analysis of Job Ads: Our system analyses the job ads to ensure they:

    • Incorporate terminology associated with social impact causes, such as “promoting financial inclusion”.

    • Specify social and environmental impact considerations in the job requirements.

    • Highlight opportunities to contribute to social or environmental betterment in the job benefits.

We consider these elements holistically, ensuring that the job posts meet a high standard of authenticity and relevance to social impact goals.

  1. Leveraging a Rich Database: Our AI is trained using data from over 22,000 impact organizations and 80,000 impact jobs, enabling it to recognize and source similar jobs from the web proficiently.

  2. Supervised Learning for Enhanced Accuracy:

    • Initial Stage: During the foundational stage, our team manually reviews every job identified by the Impact Job Detector to classify them appropriately, ensuring a rigorous supervised learning process.

    • Pre-Launch Assurance: We are committed to launching the feature only when we attain a 99.9% accuracy rate in identifying true impact jobs.

  3. Community Engagement for Continuous Improvement:

    • Post-Launch: Even after the launch, we welcome users to report any jobs they perceive not to align with the “impact job” criteria, aiding us in continually refining the accuracy and reliability of the Impact Job Detector.

This multifaceted approach ensures that users can trust the quality and authenticity of the jobs presented, fostering a platform that truly supports purpose-driven employment.

How to Ensure the Quality of Impact Job Matching

Our impact job matching system is designed to foster meaningful connections between organizations and potential employees. Leveraging a rich array of data through a meticulous two-tiered approach, we ensure a high degree of precision and relevance in our matching process. Here’s how:

1. In-Depth Analysis of Organizations and Job Listings

We prioritize a detailed understanding of the organizations and the job listings they provide. This involves:

  • Soliciting Comprehensive Details: Organizations are encouraged to present detailed profiles and thorough job advertisements, laying a solid foundation for our matching process.

  • Monitoring App Behavior: We deepen our dataset by analyzing various organization behaviors within the app, such as:

    • Publication trends

    • Engagement patterns with different profiles

    • Hiring preferences and feedback on candidate recommendations, which they can label as “fit” or “not fit”

For further insights into the data we collect from organizations, you may refer to the following documents:

2. Profiling Candidate Preferences and Engagement

Understanding candidate preferences and behaviors forms the second pillar of our strategy. We do this by:

  • Encouraging Detailed Profiles: Candidates are urged to build comprehensive profiles that serve as the initial guide for matching.

  • Analyzing In-App Activities: A continuous analysis of candidates' in-app behaviors, including:

    • Engagement with posts and content

    • Networking actions such as connections and follows

    • Job-related activities and feedback from organizations

    • Response patterns to previous recommendations, which help refine future suggestions

    • Insightful search histories that depict evolving interests

To learn more about the specific data we collect on candidates, please

.

Uniqueness and Innovation

What sets Socious apart is our innovative approach to job matching that goes beyond traditional parameters like skills, experience, and location. We consider the social causes that individuals are passionate about to ensure a more meaningful match. Additionally, our use of decentralized AI technology and open-source approach contributes to the development of a fair and beneficial AI network. Our recommender engine will be open-sourced, enabling other organizations to match people's purpose/mission with positions and content.

Contribution to SingularityNET

Our solution aligns with SingularityNET's mission of developing decentralized AI for a beneficial technological Singularity. By open-sourcing our ML-based recommender engine, we contribute to the development of decentralized human-level intelligence and enable other organizations to benefit from our work, thereby creating a more compassionate, just, and sustainable world.

Conclusion

Socious is not just a job matching platform; it is a movement towards a more purposeful and impactful future. By leveraging the power of decentralized AI, we are creating a fair and efficient job matching platform that contributes to a more compassionate, just, and sustainable world. Join us in our mission to empower purpose-driven talent and organizations to create a better future.

For more technical details about our solution, please visit our GitHub repositories:

and

.

Marketing Strategy

Market Analysis According to a Porter Novelli

, 93% of employees want companies to lead with Purpose, and 88% want companies to positively impact society. This shift towards purpose-driven work is further highlighted by a Gartner

predicting a workforce more driven by purpose and passion, not just money. Additionally, a recent

indicated that 42% of Gen Zs would prefer working at a company that gives them a sense of purpose rather than one that pays more.

Target Audience Our target audience is millennials and Gen Zs who are seeking to use their skills for social and environmental good. In the context of the

, many have quit their corporate jobs in search of meaningful work where they can make a difference for the world and for their well-being. Gen Z, born between 1997 to 2012, is on track to surpass Millennials as the most populous generation, with experts estimating they will make up 30% of the global workforce in 2030.

Competitors and Socious’ Advantages Our main competitors include Upwork and Work for Impact. Socious has a significant advantage over Upwork as we focus on purpose-driven talent and impact jobs, whereas Upwork is a general freelance platform. For instance, Upwork’s ML-based algorithms match freelancers with gigs based on their skills and experience, while Socious’ recommender engine also considers the talent’s passion for social causes. Moreover, Socious uses blockchain-based incentive mechanisms, including impact points and THANK tokens. Freelancers earn impact points when working for impact organizations and get rewarded in crypto tokens. Because Socious is transitioning to a Decentralized Autonomous Organization (DAO), users can vote on important matters such as treasury fund allocation. Upwork does not have these features. Although Work for Impact is focused on impact organizations like Socious, it does not have an ML-based recommender engine or blockchain-based incentive/DAO mechanisms.

Go-to-market Strategy Our strategy is to focus on specific target segments first and then expand to other segments. Initially, we are targeting climate tech companies and connecting them with tech talent. We list as many impact jobs as possible on the platform and then onboarded purpose-driven talent. Our growth strategy is based on three main pillars: partnerships, content marketing, and community building.

Partnerships: We aim to onboard many impact startups (and their jobs/gigs) in bulk by partnering with networks of impact startups such as venture capital firms with impact startups in their portfolio. For example, we have partnered with 500 Startups, Hustle Fund, Shizen Capital and many others to onboard their portfolio impact startups on our platform.

Content Marketing: We are creating shareable content to raise awareness of Socious organically. For instance, we have launched a web magazine,

, through which we interview social changemakers and highlight their passion, struggles, and life lessons.

Community Building: We are fostering a sense of community by organizing events, job fairs, and referral programs. For example, there are incentives to refer friends to join our community or refer jobs to their friends.

Current Traction

Thanks to our robust go-to-market strategy, we have successfully listed more than 70,000 impact jobs on our platform, registered over 22,000 impact organizations, and attracted more than 5,000 purpose-driven professionals. Collectively, these individuals have contributed over 3,000 hours to various impact organizations, and we are now generating revenue.

Furthermore, we have been selected to participate in several prestigious acceleration programs, including:

  • Microsoft for Startups

  • 500 Startups

  • Milkomeda Incubator

  • X-Hub Tokyo’s Global Startup Accelerator’s Europe Outbound Program, sponsored by the Tokyo Metropolitan Government

  • X-Hub Tokyo’s Global Startup Accelerator’s UK Outbound Program, sponsored by the Tokyo Metropolitan Government

  • Got funded and completed 5 Project Catalyst projects

These achievements not only validate our business model but also demonstrate the significant demand for a platform that connects purpose-driven professionals with impact organizations.

Please see our

and

.

Our Project Milestones and Cost Breakdown

Executive Summary

This project consists of five key milestones to develop, integrate, and deploy an “AI-based Job Matching for Social Good”. The milestones are as follows:

  • Milestone 1 (2 months): Solution Architecture, UI/UX Research and Design | Budget: $10,000

  • Milestone 2 (2 months): Complete Impact Job Detector | Budget: $12,000

  • Milestone 3 (2 months): Complete Impact Job Matching Engine | Budget: $14,000

  • Milestone 4 (2 months): SingularityNET Platform Onboarding | $5,000 (10% of the requested amount)

  • Milestone 5 (2 months): Marketing | Budget: $9,000

Total Project Budget: $50,000

Total Server/API Calls Cost: $12,500-25% of the requested amount (Development: $5000-40%, Production: $7,500-60%)

Total Project Duration: 10 months

Milestone 1 (2 months)

  • Milestone Name: UI/UX Research, Design, and Solution Architecture

  • Milestone Description: This phase involves comprehensive UI/UX research and design of the solution architecture. We aim to understand the kind of data we should collect, how we should collect them, and how we can serve the matching recommendations (e.g., push notifications vs feed, timing, etc.).

  • Milestone Deliverable:

    • Completed design file in Figma

    • Completed solution architecture schema and a data flow chart

  • Deliverable Description:

    • Preliminary User Interviews: $1,500

      • Preparation, conducting interviews, and analysis

    • Brainstorming and Ideation: $500

      • Team meetings, brainstorming sessions, and initial concept development

    • Prototype Creation: $2,000

      • Development of initial prototypes for user research

    • User Research/Interviews: $1,500

      • Conducting research/interviews using the prototypes and analyzing the findings

    • Finalize UI/UX Design: $2,000

      • Finalizing the design based on user feedback and preparing production-ready design in Figma

    • Solution Architecture and Data Flow Design: $1,500

      • Designing the solution architecture, data flow chart, content validation/eligibility, execution parameters, and exploring different models and solutions

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $10,000

Milestone 2 (2 months)

  • Milestone Name: Complete Impact Job Detector

  • Milestone Description: This milestone involves the completion of Impact Job Detector, a tool that uses artificial intelligence (AI) algorithms to curate a selection of impact job opportunities. The AI is trained using existing data on impact jobs, searches the web (e.g., Google Jobs) to identify impact jobs, aggregates them, and then lists them on the Socious platform.

  • Milestone Deliverable: Fully functional Impact Job Detector tested and deployed.

  • Deliverable Description: Impact Job Detector will be fully operational, trained, and tested. It will be able to collect jobs from the web, identify impact jobs, aggregate them, and list them on the Socious platform. Users will be able to see a curated list of impact jobs on the Socious app.

    • AI Training: $3,500

      • Training the AI using sample impact jobs from Idealist, ReliefWeb, and impact jobs posted natively on Socious.

    • Job Collector: $3,000

      • Development of the job collector tool that collects jobs from the web and identifies impact jobs.

    • Integration and Listing: $1,500

      • Integrating the aggregated jobs into the Socious platform and listing them appropriately.

    • Testing: $500

      • Testing the entire process from job collection to listing on the platform.

    • Deployment: $500

      • Deploying it to production.

    • Hosting/API Call Usage: $2,000

      • Cost associated with hosting the service and/or API call expenses.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $12,000

Links:

Milestone 3 (2 months)

  • Milestone Name: Complete Impact Job Matching Engine

  • Milestone Description: This milestone involves completing the development of an Impact Job Matching Engine. This engine will recommend impact jobs to talent on the Socious platform, matching them based on their skills, interests, and passions. This will involve integrating user profile data, interaction data, job data, and organization data to build a comprehensive recommendation engine.

  • Milestone Deliverable: A fully functional and integrated Impact Job Matching Engine.

  • Deliverable Description: The Impact Job Matching Engine will be completely built, tested, and integrated into the Socious platform. It will utilize user profile data, interaction data, job data, and organization data to recommend the most suitable impact jobs to talent registered on the Socious platform.

    • Data Integration: $4,000

      • Integrating user profile data, interaction data, job data, and organization data.

    • Recommendation Engine Development: $4,500

      • Building the recommendation engine that will match impact jobs to talent.

    • Testing: $1,500

      • Testing the recommendation engine to ensure it is recommending the most suitable jobs.

    • Integration: $500

      • Integrating the recommendation engine into the Socious platform.

    • Deployment: $500

      • Deploying the Impact Job Matching Engine to production.

    • Hosting/API Call Usage: $2,000

      • Cost associated with hosting the service and/or API call expenses.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase

  • Milestone Related Budget: $14,000

Milestone 4 (2 months)

  • Milestone Name: SingularityNET Platform Onboarding

  • Milestone Description: This milestone involves the process of onboarding our Impact Job Matching Engine onto the SingularityNET platform. This includes all the necessary steps for integration with SingularityNET's infrastructure, from setting up the hosting environment, to configuring API calls, and interacting with the SNET internal team to ensure successful integration.

  • Milestone Deliverable: Successfully onboarded Impact Job Matching Engine onto the SingularityNET platform.

  • Deliverable Description: The Impact Job Matching Engine is successfully integrated and functioning on the SingularityNET platform. All necessary interactions with the SNET internal team have been completed, and the service is live and operational.

    • Hosting/API Call Usage: $1,000

      • Covering the costs associated with hosting the service and making API calls.

    • Integration: $2,000

      • All the activities involved in integrating the service with the SingularityNET platform, including configuring the hosting environment, setting up API calls, and ensuring compatibility with the platform.

    • Interactions with SNET Internal Team: $1,000

      • Costs associated with interactions with the SingularityNET internal team for integration and onboarding.

    • Contingency: $1,000

      • A contingency budget to cover any unforeseen expenses that may arise during this phase.

  • Milestone Related Budget: $5,000

Milestone 5 (Final-2 months)

  • Milestone Name: Marketing

  • Milestone Description: This phase will focus on promoting the service. Marketing campaigns will be launched, and efforts will be made to build partnerships. Continuous improvement will be sought through a user feedback loop.

  • Milestone Deliverable: Launched marketing campaigns, established partnerships, and implemented user feedback loop.

  • Deliverable Description: Marketing campaigns will be successfully launched, partnerships will be established, and a user feedback loop will be implemented for continuous improvement.

    • Hosting/API Call Usage: $7,500

      • Costs associated with hosting the service and making API calls.

    • Marketing Campaigns: $500

      • Costs associated with launching marketing campaigns to promote the service.

    • Partnership Building: $500

      • Costs associated with efforts to build partnerships.

    • Contingency: $500

      • A contingency budget to cover any unforeseen expenses that may arise during this phase.

  • Milestone Related Budget: $9,000

Risk and Mitigation

We may face potential risks associated with the execution of project. However, we have mitigation strategies for each risk.

  1. Data Inaccuracy: The AI algorithms may pull in irrelevant jobs from the web that do not align with the impact-driven focus of the platform.

    • Mitigation Strategy: Implement a robust data validation process, continuously monitor and refine the AI's criteria for selecting jobs, and implement a manual review process for jobs before they are listed on the platform.

  2. Delays in Project Timeline: Various unforeseen issues may arise causing delays in the project timeline such as technical challenges, unavailability of key team members, or changes in project requirements.

    • Mitigation Strategy: Develop a detailed project plan with a buffer for unexpected delays, regularly monitor progress against the plan, and have contingency plans and budgets in place for key areas of risk.

  3. User Acceptance: Users may not find the recommendations provided by the AI algorithm to be useful or relevant.

    • Mitigation Strategy: Conduct thorough user research and testing during the development phase, continuously gather feedback from users and make necessary adjustments to the algorithm.

  4. Hosting/API Call Costs: Hosting and API call costs may end up being higher than anticipated.

    • Mitigation Strategy: Monitor usage closely, optimize for cost-efficiency, and have a contingency fund in the budget for unexpected costs.

Voluntary Revenue

We have planned for a token launch in Q1 2024 with our utility token, THANK, designed for the Socious platform. THANK token holders can invest, lend, donate to impact organizations on Socious, purchase sustainable products, and earn more THANK through staking or contributing to the decentralized platform - including content moderation, verification, and dispute resolution. Further details of the tokenomics can be found in our whitepaper

.

As a gesture of goodwill and commitment to the success of our project, if awarded by Deep Funding, we will voluntarily allocate 500 million THANKs, which is 10% of the pre-seed round allocation, to SNET/Deep Funding.

Open Source

Our project is proudly open source, licensed under the GNU General Public License v3.0 (GPLv3). This license allows others to freely use, modify, and distribute our code, under the condition that any derivative work will also be open source under the GPLv3. This fosters collaboration and community-driven development, as it encourages other developers to contribute to our project, or to use our code as a starting point for their own projects, thus driving innovation in the sector.

By making our project open source, we aim to contribute to the global movement of shared knowledge and collaborative problem solving. This approach ensures transparency, promotes the sharing of knowledge, and encourages a collective approach to addressing the challenges associated with the impact job sector. Ultimately, we believe that open-sourcing our project will lead to a more robust, efficient, and impactful solution, thanks to the contributions of the global developer community.

Our Team

Our team is composed of dedicated, experienced, and passionate individuals who bring a wealth of knowledge and expertise in their respective fields, making them well-equipped to execute the proposed project successfully. 

Seira Yun

Role: Founder and CEO

Commitment: Full-time

Linkedin:

Bio: Seira Yun is a serial impact entrepreneur with years of experience in the impact sector, leading teams within the ICRC, UNHCR, and social ventures. Drawing from personal experiences as a migrant, someone with autism, and a proud pansexual queer, Seira is driven to make the world a better place through social innovation. As a full-stack developer with a Master's degree in Social Innovation from the University of Cambridge, Seira enjoys blending technology with purpose. When not working, you can find Seira shooting hoops, running, reading, spending quality time with the kids, or embracing the adventure of getting lost during travels.

Ehsan Mahmoudi

Role: Lead Developer

Commitment: Full-time

LinkedIn:

Bio: More than 8 years of experience in Python and Machine Learning. Ehsan has worked for global startups including Rechat, AEC, and Navaak. 

Galina Naydenova

Role: Data Scientist

Commitment: Freelancer

LinkedIn:

Bio: 14 years of experience as a data scientist/AI engineer. Experienced and versatile Lead Machine Learning Engineer with extensive experience in private and public organizations, with a proven track record in applying advanced AI solutions to improve customer success and inform strategic decisions. Resourceful technology professional experienced in project management and responsible for delivering complex end-to-end big data solutions. A team leader successful in fostering productive relationships across all levels and roles, with a passion for developing and mentoring others. Fellow of the Higher Education Academy in the UK and a contributor to various academic papers in the area of Learning Analytics and NLP. Leader of the Japan Chapter of Omdena - the world-leading collaborative platform for AI for Good. Multi-lingual, with experience in a diverse range of cultures and industries.

Minh Douangprachanh

Role: Lead Designer

Commitment: Full-time

LinkedIn:

Bio: With more than a decade of experience specializing in product design, Minh is a multidisciplinary artist who has always believed art has a language of its own. As a neurodiverse individual, Minh is passionate about helping people as well as creating sustainable and inclusive solutions.

Iman Rezasefat

Role: Senior Frontend Developer

Commitment: Full-time

LinkedIn: https://www.linkedin.com/in/iman-rezasefat-001988121/

Bio: An experienced frontend developer with 7+ years of experience. 

Marjan Arami

Role: Senior Frontend Developer

Commitment: Full-time

Bio: An experienced frontend developer with 10+ years of experience.

Azin Zare

Role: QA Engineer

Commitment: Full-time

LinkedIn:

Bio: An experienced QA engineer with 9+ years of experience. 

Raphael Hode

Role: Advisor

Commitment: Part-time

LinkedIn:

Bio: Raphael is a Strategic Designer with a passion for social innovation and sustainability. After a few years in advertising agencies in Paris, Raphael moved to Tokyo in 2015 and joined Designit, a global strategic design firm. At Designit Raphael worked on growing a team and helping some of Japan’s most ambitious companies make innovation happen, leading him to endorse a variety of roles across UX design, service design, business design, and strategy.

In parallel, he has been passionately engaging in activities related to sustainability and social innovation: giving talks and workshops, mentoring early-stage social founders, and eventually co-founding a social venture. Today, he spends most of his time working with incredible social entrepreneurs to help them define, design, and launch visionary products that contribute to creating a more sustainable society.

Together, our team has the perfect blend of skills, experience, and passion needed to successfully execute our proposed project and make a positive impact on the world.

Related Links

Website: https://socious.io

Various Links: https://linktr.ee/socious

AI Services

Proposal Video

Socious: AI-Based Job Matching for Social Good - #DeepFunding IdeaFest Round 3

26 September 2023
  • Total Milestones

    5

  • Total Budget

    $50,000 USD

  • Last Updated

    21 Feb 2024

Milestone 1 - UI/UX Research, Design, and Solution Architecture

Status
😀 Completed
Description

This phase involves comprehensive UI/UX research and design of the solution architecture. We aim to understand the kind of data we should collect, how we should collect them, and how we can serve the matching recommendations (e.g., push notifications vs feed, timing, etc.).

Deliverables

Budget

$10,000 USD

Milestone 2 - Complete Impact Job Detector

Status
😀 Completed
Description

This milestone involves the completion of Impact Job Detector, a tool that uses artificial intelligence (AI) algorithms to curate a selection of impact job opportunities. The AI is trained using existing data on impact jobs, searches the web (e.g., Google Jobs) to identify impact jobs, aggregates them, and then lists them on the Socious platform.

Deliverables

Budget

$12,000 USD

Milestone 3 - Complete Impact Job Matching Engine

Status
🧐 In Progress
Description

This milestone involves completing the development of an Impact Job Matching Engine. This engine will recommend impact jobs to talent on the Socious platform, matching them based on their skills, interests, and passions. This will involve integrating user profile data, interaction data, job data, and organization data to build a comprehensive recommendation engine.

Deliverables

Budget

$14,000 USD

Link URL

Milestone 4 - SingularityNET Platform Onboarding

Status
😐 Not Started
Description

This milestone involves the process of onboarding our Impact Job Matching Engine onto the SingularityNET platform. This includes all the necessary steps for integration with SingularityNET's infrastructure, from setting up the hosting environment, to configuring API calls, and interacting with the SNET internal team to ensure successful integration.

Deliverables

Budget

$5,000 USD

Link URL

Milestone 5 - Marketing

Status
😐 Not Started
Description

This phase will focus on promoting the service. Marketing campaigns will be launched, and efforts will be made to build partnerships. Continuous improvement will be sought through a user feedback loop

Deliverables

Budget

$9,000 USD

Link URL

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