AI-Driven Media and Education by SNET & FinGurú

chevron-icon
Back
project-presentation-img
FrancoAmmaturo
Project Owner

AI-Driven Media and Education by SNET & FinGurú

Funding Requested

$140,000 USD

Expert Review
Star Filled Image Star Filled Image Star Filled Image Star Filled Image Star Filled Image 0
Community
Star Filled Image Star Filled Image Star Filled Image Star Filled Image Star Filled Image 4 (1)

Overview

FinGurú, a pioneering decentralized media platform focusing on revolutionary education, aims to revolutionize content creation with an advanced AI system. This multi-agent AI will serve as director, SEO editor, marketing specialist, and spelling corrector, transforming not only written articles but also audio content into publish-ready pieces. By simplifying the process, this initiative fosters active user engagement and embodies our commitment to decentralization. Now, even those lacking technical expertise can easily share their ideas, amplifying voices and fostering inclusivity.

Proposal Description

Company Name (if applicable)

FinGurú

How our project will contribute to the growth of the decentralized AI platform

The comprehensive approach of this proposal aims to improve educational and informative content production dynamics, bringing SingularityNET's decentralized platform to the absolute forefront of communication. The AI-DRIVEN MEDIA AND EDUCATION multi agent represents a unique opportunity for the SingularityNET marketplace that truly responds to one of the most urgent needs today; creating high quality and frequent content.

 

The core problem we are aiming to solve

The centralization of content and information production is one of the main challenges we face as a global village. The mass media usually have the power to control social speech under a few hands with a clear biased and oriented agenda and often prioritize generating traffic over education. We founded Finguru with the objective of democratizing access to content production and decentralizing information sources. After more than ten years of experience and with the coming advent of the AGI, we are aware that decentralization is now no longer just an ideal, but an urgent need. This AI-DRIVEN MEDIA AND EDUCATIONAL comprehensive project will give a voice to a huge number of users overcoming the barrier of technical knowledge, enabling individuals with valuable insights to contribute with written content and ensuring the continuation of freedom of expression and opinion for all.

Our specific solution to this problem

Pushing technological boundaries, AI-DRIVEN MEDIA AND EDUCATION leverages the power of multiple cutting-edge AI mechanisms that offer a suite of solutions and strategies; adding Voice-to-Text Article Generation a layer of polished and targeted writing, virtual tutors and AI-reports and analysis from social-cultural inputs. 

 

Project details

Led by Finguru, one of the most important decentralized media platforms in LATAM, AI-DRIVEN MEDIA AND EDUCATIONAL was designed based on the experience of more than seven years of work in the area of ​​communication and social networks; about the insights and inputs that our experts were able to gather from their experience on the field. With a social media presence of over 200,000 followers and a roster of 500 writers, many utilizing AI, and leveraging other disruptive technologies, we are at the forefront of change in the media landscape all across LATAM and we are well aware of the challenges content production and education is now facing. 

AI-DRIVEN MEDIA AND EDUCATION has been designed and ideated by a team with a proven track record of delivering successful projects with high levels of trust and accountability. Partnered with most of LATAM's prestigious universities, Finguru’s Dev Team is a group of experienced and multidisciplinary teams of builders who have won prestigious hackathons in the past year, such as Ethereum Argentina and LABITCONF Algorand Hacker House.
AI-DRIVEN MEDIA CONTENT AND EDUCATION articulates different AI mechanisms in a comprehensive and cutting-edge strategy that boosts SingularityNET’s content clients within its decentralized platform.

How AI-DRIVEN MEDIA CONTENT AND EDUCATION works:

  • Voice-to-Text Article Generation: Our platform utilizes a multi-agent system to transform voice notes into polished articles for digital publication. This process involves collaboration among an editor, writer, marketing specialist, CEO, and editorial director to ensure top-notch editorial quality. Powered by censorship-free LLMS, we champion freedom of expression and decentralization in the realm of information dissemination.
  • Virtual Tutor Integration: Each course on the FinGuru platform is accompanied by a contextualized virtual tutor. This tutor provides real-time support tailored to the course content, enhancing the learning experience for students.
  • Intelligent Evaluation System: Our platform features an intelligent evaluation system for courses, contextualized with course content. It generates dynamic assessments based on student behavior and responses, ensuring fair evaluations devoid of biases. Diplomas and certificates are anchored in blockchain technology for security and authenticity.
  • Analysis and Report Generation: Leveraging AI, we extract socio-political insights from platform metrics, producing objective and censorship-free reports. This promotes the expansion of decentralized artificial intelligence within our ecosystem.
  • Gamification Engine: We employ generative AI tools to develop a gamification engine, enhancing the educational experience of our courses. By analyzing specific reports from our platform, we foster free competition and fun as educational pillars 

The competition and our USPs

Yes

Describe how your solution distinguishes itself from other solutions (if exist) and how it will succeed in the market.

AI-DRIVEN MEDIA AND EDUCATION is a solution with no current presence in the AI ​​market. We know of the efforts that have been made within the SingularityNET platform within audio to text transcription and this solution takes content production one step further. Producing on top of the transcription a layer of polished writing focused on different users according to their interests, and integrating it with different AI agents that in turn function as tutors and evaluators of entertainment and educational content, this project is at the complete forefront of content production through AI.

 

Our team

As FinGurú, a leading decentralized media platform in LATAM, we excel in leveraging AI-driven media and educational tools to democratize content creation. With seven years of experience, and 500 writers utilizing disruptive technologies, we empower young professionals and foster strategic partnerships. Our commitment to change, creativity, and innovation positions us at the forefront of the evolving media landscape, addressing contemporary content production and educational challenges.

 

View Team

What we still need besides budget?

No

Existing resources we will leverage for this project

Yes

Description of existing resources

We've crafted a Proof of Concept (POC) for Labitconf's hackathon, enabling the transformation of two-minute voice notes into publishable content using AI multi-agent processing. Our backend, powered by Python with FastAPI, hosts custom multi-agent models. For the user interface, we've employed Next.js and Typescript, ensuring a seamless and intuitive experience.

We will leverage the FinGurú platform and highly experienced Dev Team. 

FinGurú – Social Digital Media:
We are a digital media in which we believe that you do not need to be a traditional or famous communicator journalist to create valuable information for society. We believe in change, creativity, innovation and education. For this reason, we make room for young students and professionals between 18 and 30 years old, we create links with strategic partners, such as universities (UCA, UBA, UADE, UTN), Governments (Argentina), and we continue to support the entrepreneurial culture.

Open Source Licensing

mit

Describe license details and, if applicable, list any components that are not subject to this license.

The MIT License is a short, simple, and permissive software license. It grants users the liberty to do virtually anything they wish with the software and associated documentation files, including use, copy, modify, merge, publish, distribute, sublicense, and sell copies of the software.

Links and references

https://github.com/P4-Games/FinGuru-Back-VoiceToPost

https://github.com/P4-Games/FinGuru-UI-UX-VoiceToPost

AI services (New or Existing)

Multi-agent for media outlet: Voice to text

Type

New AI service

Purpose

MultiAgent oriented towards the generation of articles of general interest to be published in digital media whose input is a voice note and its output is an article ready for publication where an editor a writer a marketing specialist a CEO and an editorial director validate work on and iterate the input in order to achieve a result with first-class editorial quality. Using censorship-free LLMS guaranteeing freedom of expression and decentralization in the informational area.

AI inputs

The input of the MultiAgent API for Digital News Portals consists of voice notes containing spoken content intended for article creation. These voice notes may contain interviews speeches press briefings or any other form of verbal communication relevant to news reporting.

AI outputs

The output generated by the MultiAgent API is a fully formed news article meticulously crafted from the input voice note. This output is formatted and structured according to established editorial guidelines ensuring readability accuracy and relevance.

Virtual Tutor

Type

New AI service

Purpose

Development and integration of a virtual tutor for each course published on the FinGuru platform that being contextualized with the entire content of each course can provide real-time support to students.

AI inputs

User chat with inquiries about the courses they are taking.

AI outputs

Responses from a specialized agent with the full context of the course provided.

Evaluator

Type

New AI service

Purpose

Development and integration of an intelligent evaluation system for each course published on the FinGuru platform that being contextualized with the entire content of each course can generate dynamic assessments and validate the knowledge of each student based on their previous behavior and responses during the exam. Ensuring fair evaluations free from biases and efficient for asynchronous courses. And granting diplomas and certificates anchored in blockchain technology.

AI inputs

Responses to an evaluative test.

AI outputs

Adjustment of the following questions based on the gaps detected in that student.

Analysis and report generation:

Type

New AI service

Purpose

Using the metrics and information generated by our portals we will be able to extract relevant analytics in the socio-political framework through the use of AI. Providing the ecosystem with quality objective and censorship-free reports that promote the free expansion of decentralized artificial intelligence.

AI inputs

FinGuru news portal database.

AI outputs

Analytics reports and general statistics.

Gamification

Type

New AI service

Purpose

We will develop a gamification engine using generative AI tools and leveraging the analysis and generation of specific reports from our platform with the aim of improving the educational experience of our courses. Promoting free competition and fun as pillars of education on our platform.

AI inputs

Educational courses.

AI outputs

Rankings competitions and tournaments.

Proposal Video

Placeholder for Spotlight Day Pitch-presentations. Video's will be added by the DF team when available.

  • Total Milestones

    6

  • Total Budget

    $140,000 USD

  • Last Updated

    20 May 2024

Milestone 1 - API Calls & Hostings

Description

This milestone represents the required reservation of 25% of your total requested budget for API calls or hosting costs. Because it is required we have prefilled it for you and it cannot be removed or adapted.

Deliverables

You can use this amount for payment of API calls on our platform. Use it to call other services or use it as a marketing instrument to have other parties try out your service. Alternatively you can use it to pay for hosting and computing costs.

Budget

$35,000 USD

Milestone 2 - Voice to text

Description

MultiAgent oriented towards the generation of articles of general interest to be published in digital media whose input is a voice note and its output is an article ready for publication where an editor a writer a marketing specialist a CEO and an editorial director validate work on and iterate the input in order to achieve a result with first-class editorial quality. Using censorship-free LLMS guaranteeing freedom of expression and decentralization in the informational area.

Deliverables

Voice-to-text interface enabling users to upload voice notes generate publish-ready articles and facilitate seamless publication.

Budget

$16,000 USD

Milestone 3 - Virtual tutor

Description

Development and integration of a virtual tutor for each course published on the FinGuru platform that being contextualized with the entire content of each course can provide real-time support to students.

Deliverables

Chat interface facilitating student-expert interaction for career-related queries and doubt resolution.

Budget

$22,000 USD

Milestone 4 - Evaluator

Description

Development and integration of an intelligent evaluation system for each course published on the FinGuru platform that being contextualized with the entire content of each course can generate dynamic assessments and validate the knowledge of each student based on their previous behavior and responses during the exam. Ensuring fair evaluations free from biases and efficient for asynchronous courses. And granting diplomas and certificates anchored in blockchain technology.

Deliverables

Real-time adaptive assessment interface generating scores tailored to each user's profile

Budget

$15,000 USD

Milestone 5 - Analytics and reporting

Description

Using the metrics and information generated by our portals we will be able to extract relevant analytics in the socio-political framework through the use of AI. Providing the ecosystem with quality objective and censorship-free reports that promote the free expansion of decentralized artificial intelligence.

Deliverables

Reports statistics and analytics enabling efficient decision-making in marketing sentiment analysis and platform finances tailored for C-level executives.

Budget

$27,000 USD

Milestone 6 - Gamification

Description

We will develop a gamification engine using generative AI tools and leveraging the analysis and generation of specific reports from our platform with the aim of improving the educational experience of our courses. Promoting free competition and fun as pillars of education on our platform

Deliverables

Gamified Course Experience Interface: Featuring rankings scores tournaments and user engagement mechanisms to enhance the educational journey.

Budget

$25,000 USD

Join the Discussion (0)

Reviews & Rating

Sort by

1 ratings
  • 0
    user-icon
    Max1524
    May 18, 2024 | 12:31 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 3
    • Usefulness 4
    Possible challenges?

    The broad impact on the SNET ecosystem is there. But it also depends on whether this proposal is successful or not.
    Creating voice-to-text articles is not a new idea, but the unique thing here is that the team has integrated support by uncensored LLMS, virtual tutors,...
    I just ask if the proposal is actually implemented, will the team anticipate what the challenges will be? Because it seems very ideal in books but in life it is different.

    user-icon
    FrancoAmmaturo
    May 18, 2024 | 1:22 PM
    Project Owner

    Hello Max,
    First of all, thank you for your interest in the proposal.

    The impact on the SNET ecosystem is significant, and we understand the concerns regarding the successful implementation of the proposal.

    Our proposal stands out due to the integration of open-source large language models (LLMs) that avoid censorship and limitations of bias in responses. This approach ensures greater freedom of expression and more impartial coverage in the creation of voice-to-text articles. Additionally, we use a dynamic prompt system that adapts the models to the specific needs of each journalist, ensuring authenticity and accuracy in the generated content.

    Recently, we won the hackathon at Labitconf Argentina, where we took this idea to a proof of concept. This achievement allowed us to identify potential challenges our project might face, using tangible results and the scientific method of trial and error. Thanks to this experience, we believe we are well-prepared to tackle these challenges.

    Freedom of the press is one of our main banners, and we are committed to upholding it through the use of advanced technologies and innovative approaches.

Summary

Overall Community

4

from 1 reviews
  • 5
    0
  • 4
    1
  • 3
    0
  • 2
    0
  • 1
    0

Feasibility

4

from 1 reviews

Viability

4

from 1 reviews

Desirabilty

3

from 1 reviews

Usefulness

4

from 1 reviews