AI-Enhanced Neurotech for Mental Well-being

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Expert Review🌟
Rakesh Jakati
Project Owner

AI-Enhanced Neurotech for Mental Well-being

Funding Awarded

$25,000 USD

Expert Review
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Status

  • Overall Status

    ⏳ Contract Pending

  • Funding Transfered

    $0 USD

  • Max Funding Amount

    $25,000 USD

Funding Schedule

View Milestones
Milestone Release 1
$6,250 USD Pending TBD
Milestone Release 2
$4,000 USD Pending TBD
Milestone Release 3
$6,000 USD Pending TBD
Milestone Release 4
$4,250 USD Pending TBD
Milestone Release 5
$2,500 USD Pending TBD
Milestone Release 6
$2,000 USD Pending TBD

Project AI Services

No Service Available

Overview

SkyBrain Neurotech aims to revolutionize cognitive and mental well-being by integrating EEG-based neurotechnology with advanced AI/ML algorithms, blockchain, and IoMT. Our solutions provide precise assessments and interventions in healthcare, sports, education, and workplace wellness. AI/ML algorithms analyze EEG data for pattern recognition, predictive analytics, and real-time decision-making. IoMT ensures continuous monitoring, while blockchain secures data privacy and integrity. Our project aligns with Singularity NET’s mission to democratize AI, enhancing human cognition and mental health with ethical and innovative technologies.

Proposal Description

How Our Project Will Contribute To The Growth Of The Decentralized AI Platform

SkyBrain Neurotech will contribute to the AI platform by developing and deploying AI/ML-driven neurotechnology services that enhance cognitive and mental well-being. Our solutions leverage advanced AI algorithms for real-time monitoring, pattern recognition, and predictive analytics. By integrating IoMT for continuous data collection and blockchain for secure data handling, we ensure robust, scalable, and ethical AI applications, aligning with SingularityNET’s mission to advance AI.

Our Team

  • Rakesh C Jakati (Project Lead): Neurotech expert with extensive BCI experience. LinkedIn

  • Harsh Jain: Neurotech embedded systems expert. LinkedIn

  • Dr. Bhaskar T: Computational and financial mathematics PhD. LinkedIn

  • Sameer Gupta: Senior Haskell and embedded systems developer.

  • Sangeet Muralidhar: Blockchain technology expert. LinkedIn

  • Vinay Devabhakthuni: Business development specialist. LinkedIn

  • Advita Ashok: UI/UX design expert. LinkedIn

  • Akash Malekar: Full stack developer. LinkedIn
View Team

AI services (New or Existing)

Emotion Prediction from EEG Signals

Type

New AI service

Purpose

This AI service aims to predict emotions based on EEG signals facilitating the understanding and analysis of cognitive and emotional states. By leveraging a classifier built on EEG emotion database it provides valuable insights for research and practical applications in mental health education human-computer interaction and more. This service not only supports real-time EEG data processing but also allows the use of offline files.

AI inputs

Real-time Data: Direct input from EEG devices providing continuous EEG signals. Offline Data: Pre-recorded EEG files adhering to standard EEG recording formats (e.g. .edf .csv). The input should include metadata such as sampling rate channel names and any relevant pre-processing information.

AI outputs

Emotion Classification: A list of detected emotions with corresponding confidence scores. Detailed Analysis: Insights into the temporal dynamics of the emotions highlighting any significant changes over time. Visualizations: Graphical representations of the EEG signal and the predicted emotions.

Company Name (if applicable)

SkyBrain Neurotech

The core problem we are aiming to solve

The core problem SkyBrain Neurotech aims to solve is the inefficiency and inaccessibility of current cognitive and mental health assessments. Traditional methods lack real-time monitoring, personalization, and robust data security, leading to delayed and inaccurate diagnoses. Additionally, there's a significant gap in utilizing AI/ML to enhance these processes.

Our project addresses these challenges by developing EEG-based neurotechnology systems enhanced with AI/ML algorithms for precise, real-time cognitive assessments and interventions. AI/ML algorithms analyze EEG data to identify patterns, map out emotions in real-time, and find biomarkers for mental health conditions. This enables accurate prediction of cognitive and mental health issues and personalized interventions. Continuous monitoring through IoMT ensures up-to-date data, while blockchain technology secures data privacy and integrity. 

Our specific solution to this problem

SkyBrain Neurotech offers a solution that leverages advanced AI/ML algorithms to enhance cognitive and mental health care through EEG-based neurotechnology, IoMT, and blockchain. Our specific solution focuses on:

1. AI/ML Algorithms: Our core innovation lies in AI/ML algorithms that analyze EEG data in real-time. These algorithms perform pattern recognition to detect cognitive and emotional states, map out emotions, and identify biomarkers for mental health conditions. By utilizing predictive analytics, our AI can forecast potential cognitive and mental health issues, enabling early and personalized interventions.

2. Emotion Mapping and Biomarker Identification: Our AI/ML technology maps out emotions in real-time, providing a detailed understanding of the user’s emotional state. Additionally, it identifies biomarkers for various mental health conditions, facilitating accurate and early diagnosis.

3. IoMT Integration: Continuous monitoring through IoMT devices ensures the collection of up-to-date neural data. This integration allows AI/ML systems to operate on the most current data, enhancing the accuracy and timeliness of assessments and interventions.

4. Personalized Interventions: Based on the insights derived from AI/ML analysis, our system provides personalized interventions to improve cognitive functions and manage mental health. These interventions are delivered in real-time through connected devices, ensuring effective and tailored support.

Project details

SkyBrain Neurotech aims to revolutionize cognitive and mental well-being by integrating EEG-based neurotechnology with advanced AI/ML algorithms, blockchain, and IoMT. Our solutions are designed to provide precise assessments and interventions across various sectors including healthcare, sports, education, and workplace wellness. By leveraging continuous, real-time monitoring of neural activities and ensuring data integrity through blockchain, we strive to advance the practical applications of neuroscience, aligning with SingularityNET’s mission of creating a democratic, decentralized, and beneficial AI ecosystem.

Objectives

  • Enhance Cognitive Assessments: Develop and deploy EEG-based systems enhanced with AI/ML to provide accurate and real-time cognitive and mental health assessments.
  • Real-time Monitoring and Interventions: Utilize IoMT for continuous monitoring and real-time interventions.
  • Ensure Data Security: Implement blockchain technology to secure and personalize data, ensuring privacy and integrity.
  • Promote Accessibility: Create scalable and accessible neurotechnology solutions that democratize cognitive and mental health care.

Detailed Solution

  1. EEG-based Systems:

    • Development of advanced EEG devices capable of capturing detailed neural activity.
    • These devices are designed to be user-friendly, non-invasive, and provide high-resolution brainwave data essential for accurate cognitive assessments.
    • The collected data serves as the foundation for AI/ML analysis, enabling precise and timely interventions.

  2. AI/ML Integration:

    • Implementation of AI/ML algorithms to analyze EEG data in real-time.
    • Pattern Recognition: AI algorithms identify patterns in neural activity associated with specific cognitive states and mental health conditions.
    • Predictive Analytics: AI predicts potential cognitive and mental health issues based on historical and real-time data, allowing for early interventions.
    • Real-time Decision Making: AI translates neural signals into actionable insights and real-time feedback, enabling immediate and personalized interventions.

  3. IoMT Integration:

    • Integration of IoT-enabled wearables and devices to facilitate continuous, real-time monitoring of neural activities.
    • This connectivity provides comprehensive insights into a person's neural health, enabling timely and personalized interventions.
    • Continuous data collection and analysis help in maintaining up-to-date and accurate cognitive profiles.

  4. Blockchain Security:

    • Utilization of blockchain technology to ensure the security and integrity of sensitive neural data.
    • Blockchain provides a decentralized and tamper-proof method for storing and managing data, ensuring privacy and compliance with data protection regulations.
    • This ensures that users’ data remains secure and private, fostering trust and compliance.

  5. Real-time Interventions:

    • Based on the analyzed data, the system provides real-time feedback and interventions to improve cognitive functions, manage stress, and enhance overall mental well-being.
    • Personalized recommendations and interventions are delivered through connected devices, ensuring that users receive timely and effective support.

  6. Scalability and Accessibility:

    • SkyBrain Neurotech solutions are designed to be scalable and accessible, ensuring that advanced cognitive and mental health care is available to a broader audience.
    • Our technology aims to democratize access to high-quality mental health care, making it more efficient and effective across various sectors.

Key Use Cases

  1. Healthcare:

    • Mental Health Monitoring: Continuous monitoring of patients with mental health conditions, providing real-time data to therapists for better care.
    • Cognitive Rehabilitation: AI-driven cognitive rehabilitation programs tailored to individual needs, aiding recovery from neurological impairments.
    • Sleep Disorder Management: Utilizing EEG to diagnose and treat sleep-related disorders, providing personalized recommendations to improve sleep quality.
  2. Workplace Wellness:

    • Stress Management: Wearables detect stress markers in real-time, providing biofeedback and behavioral suggestions to reduce stress.
    • Performance Enhancement: Neurofeedback and cognitive training programs to boost employee productivity and focus.
  3. Education:

    • Learning Enhancement: EEG-based systems that monitor student engagement and provide real-time feedback to optimize learning methods.
    • Special Education Support: Customized solutions to assist students with learning disabilities and attention disorders.
  4. Sports:

    • Performance Optimization: Neurofeedback training for athletes to improve concentration and reduce anxiety during competitions.
    • Injury Recovery: Neurostimulation devices to support faster recovery from brain injuries and better management of concussions.
  5. Gaming and Virtual Reality:

    • Adaptive Gaming Environments: Games that adapt to the player's emotional state or cognitive load, enhancing engagement and experience.
    • BCI-driven Game Controls: Allowing players to control game elements through brain signals, providing a hands-free gaming experience.
  6. Personalized Smart Homes:

    • Neuro-Responsive Environments: Homes that adjust settings based on the resident's cognitive and emotional states, enhancing comfort and well-being.
    • Safety Enhancements: IoT-enabled homes that monitor cognitive health and alert caregivers or emergency services when necessary.

Competition and USPs

SkyBrain Neurotech distinguishes itself by integrating EEG-based neurotechnology with advanced AI/ML, IoMT, and blockchain technologies. Unlike existing solutions, our approach provides real-time, precise cognitive assessments and interventions through continuous monitoring and AI-driven insights. The use of blockchain ensures unparalleled data security and privacy, fostering trust among users. Our system's scalability and accessibility make it suitable for diverse sectors, including healthcare, education, sports, and workplace wellness.

By offering personalized, data-driven interventions and maintaining high ethical standards, SkyBrain Neurotech addresses the inefficiencies and limitations of traditional methods. Our commitment to innovation and data integrity, combined with the growing demand for advanced mental health solutions, positions us for success in the market, aligning with SingularityNET’s mission to democratize AI.

Needed resources

We seek mentorship in the following areas:

  1. Strategic Guidance: Expertise in navigating the AI and neurotech market, refining our go-to-market strategy, and scaling our solutions.
  2. Technical Mentorship: Insights from seasoned professionals in advanced AI/ML applications, particularly in neurotechnology, to optimize our algorithms and system performance.
  3. Regulatory Compliance: Guidance on navigating complex regulatory landscapes, ensuring our solutions meet all necessary legal and ethical standards.
  4. Funding and Partnerships: Advice on securing additional funding, forming strategic partnerships, and leveraging networks to accelerate our project's growth and impact.

Open Source Licensing

GNU GPL - GNU General Public License

Links and references

https://linktr.ee/skybrain

 

Additional videos

https://www.youtube.com/watch?v=gLlUsLS7vQ8

Proposal Video

DeepFunding Pitch Video

31 May 2024
  • Total Milestones

    6

  • Total Budget

    $25,000 USD

  • Last Updated

    24 Jun 2024

Milestone 1 - API Calls & Hostings

Status
😐 Not Started
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

$6,250 USD

Link URL

Milestone 2 - Data Collection and Preprocessing

Status
😐 Not Started
Description

This milestone focuses on gathering and preprocessing EEG data from public emotion EEG databases. The process involves identifying relevant datasets cleaning the data to remove noise and artifacts normalizing the data for consistency and segmenting the EEG signals into time windows suitable for emotion classification. Each step ensures the data is of high quality and ready for model training.

Deliverables

A comprehensive dataset of preprocessed EEG signals including detailed documentation of the data collection sources preprocessing steps (such as noise removal techniques normalization methods and segmentation criteria) and the final dataset structure ready for training. This will also include sample scripts used for preprocessing.

Budget

$4,000 USD

Link URL

Milestone 3 - AI/ML Model Development

Status
😐 Not Started
Description

Develop and train the emotion classification model using AI/ML algorithms. This involves selecting appropriate machine learning models (such as Convolutional Neural Networks or Recurrent Neural Networks) applying data augmentation techniques to enhance the training dataset and training the model on the preprocessed EEG data. The training process includes hyperparameter tuning to optimize the model’s performance.

Deliverables

A trained AI/ML model capable of predicting emotions from EEG signals accompanied by a detailed report on the model architecture the training process (including data augmentation methods and hyperparameter tuning) and initial performance metrics (accuracy precision recall and F1-score). The deliverables will also include the codebase and instructions for running the model.

Budget

$6,000 USD

Link URL

Milestone 4 - API Development

Status
😐 Not Started
Description

Develop an API for the emotion classification model to facilitate integration with other applications and platforms. This includes designing the API endpoints implementing the server-side logic and ensuring the API can handle both real-time EEG signal processing and offline data analysis.

Deliverables

A fully functional API with comprehensive documentation including endpoint specifications usage examples and instructions for integration. The deliverables will also include a demo application showcasing the API's capabilities in both real-time and offline modes.

Budget

$4,250 USD

Link URL

Milestone 5 - SNET Integration

Status
😐 Not Started
Description

Integrate the developed AI/ML model and API into the SingularityNET (SNET) platform. This involves ensuring the service meets SNET’s technical and security requirements setting up hosting and API calls and creating a user interface for accessing the service via the SNET platform.

Deliverables

Integrate the developed AI/ML model and API into the SingularityNET (SNET) platform. This involves ensuring the service meets SNET’s technical and security requirements setting up hosting and API calls and creating a user interface for accessing the service via the SNET platform.

Budget

$2,500 USD

Link URL

Milestone 6 - Testing and Validation

Status
😐 Not Started
Description

Conduct extensive testing and validation of the integrated service to ensure reliability accuracy and user-friendliness. This includes testing with real-time EEG signal processing evaluating the performance across different datasets and collecting user feedback for further improvements.

Deliverables

A detailed testing and validation report including test cases performance metrics user feedback and identified areas for improvement. The deliverables will also include updated versions of the model API and integration components based on the testing outcomes.

Budget

$2,000 USD

Link URL

Join the Discussion (3)

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3 Comments
  • 0
    commentator-avatar
    logannn
    May 27, 2024 | 10:46 AM

    I would like to discuss with you privately. I've connected on linkedin and think we can have a proper chat about where to take this.

  • 0
    commentator-avatar
    HenriqC
    May 27, 2024 | 8:50 AM

    What applications and devices do you think will be the ones that bring crowds into wearing EEG sensors? I mean people don’t use EEG devices as they use watches or rings. Maybe it will change in the future if there are applications attractive enough with benefits high enough from using them. I guess there are some semi handy ear devices currently(?) If we think about the person’s general health questions, such as balanced dopamine responses that enable them to concentrate, work, study, stay patient and positive, what kind of data and applications are needed? I use a headband for guided meditation but it is very different from EEG when attending team sports or gaming. My intuition is that much of the value from EEG data materializes when the underlying activity or task is known.      Also, my understanding is that sensor tech is advancing rapidly so that in the near future we can expect much more accurate, reasonably-cost consumer devices. I don’t know what I’m trying to really ask. I’m just trying to get some kind of understanding of what could be realistically expected from the coming years. People are losing their ability to do deep work, videos have to be shorter than 30 sec and they don’t know why they are depressed. There is so much to win in this field by building incentives that overcome the habit of addictive shallow engagement and empower people. I really like this project and wish you a lot of success!      And the final question: How long do you expect the project to take before the first version of the service would be on the SNET marketplace? Thanks! 

    • 0
      commentator-avatar
      Rakesh Jakati
      May 27, 2024 | 10:45 AM

      1. Applications and Devices for EEG Sensors: Indeed, the evolution of wearable technology is a great example of how sensors can become part of everyday life. A decade ago, heart rate sensors were primarily used in clinical settings. Now, they are integrated into fitness trackers and smartwatches. Modern EEG devices are becoming more compact and user-friendly, embedded in headbands, helmets, and even earphones. These innovations make the technology more accessible. Potential everyday applications include Activity Trackers (monitoring brain activity), Productivity Assistants (enhancing focus and managing stress), and Mental Health Tools (offering insights into emotional states and cognitive functions). As the technology advances, its benefits will become more apparent, driving broader adoption.     2. Data and Applications for General Health Questions: Your intuition is correct; the value of EEG data significantly increases when contextualized with the underlying activity or task. Our platform leverages machine learning (ML) and artificial intelligence (AI) to identify patterns associated with specific emotions and cognitive states. We provide Emotion and Cognitive State Analysis, Contextual Insights (optimizing routines for better concentration and positivity), and Personalized Recommendations (balancing dopamine responses, improving focus, and managing stress).     3. Advancements in Sensor Technology: You are right; sensor technology is advancing rapidly. Earlier EEG devices were bulky and uncomfortable. With advancements in electronics and material science, we now have compact BCI devices with soft electrodes, suitable for long-term wear. These advancements will help users track their mental states, identify stressors, and understand their cognitive patterns, building healthier habits and promoting deeper, more meaningful engagement.     4. Project Timeline: We will update on this shortly.

Expert Review

Overall

5

user-icon
  • Feasibility 5
  • Viability 5
  • Desirabilty 5
  • Usefulness 4
Potential to drive significant advancements in AI.

The project demonstrates exceptional feasibility, viability, desirability, usefulness, and overall potential. By integrating EEG-based neurotechnology with AI/ML algorithms, blockchain, and IoMT, SkyBrain Neurotech aims to transform cognitive and mental well-being in various domains, including healthcare, sports, education, and workplace wellness.
The alignment of SkyBrain Neurotech's project with SingularityNET's mission to democratize AI highlights its potential to significantly contribute to the growth of the decentralized AI platform. The innovative application of AI for real-time monitoring, pattern recognition, and predictive analytics in the context of neurotechnology showcases the power of advanced AI algorithms in addressing complex challenges and improving human cognition and mental health. Furthermore, the integration of IoMT and blockchain technologies ensures the continuous collection and secure handling of data, which is essential for building robust and scalable AI applications.
In summary, SkyBrain Neurotech's proposal presents a compelling case for revolutionizing cognitive and mental well-being through cutting-edge neurotechnology and AI integration. The strong ratings across all perspectives reflect confidence in the project's potential to drive significant advancements in AI and contribute to the growth and success of the decentralized AI platform.

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13 ratings
  • 0
    user-icon
    HenriqC
    Jun 9, 2024 | 11:43 AM

    Overall

    5

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 5
    Great growth drivers

    Feasibility

    There is nothing mysterious in the technological design of the service that is going to use standard machine learning techniques. There are not many moving components as this is not about direct consumer attraction or deep backend architectures. Data is to be retrieved from public sources. 

    However, the level of efficacy of the service in the beginning is not obvious to me before the actual launch. Some application domains will be much more viable than others and it may take time for many of them to come into fruition.

     

    Viability

    Skybrain Neurotech is a serious business entity with a grand related infrastructure in production. They have qualified personnel to work on the project but more specific areas of responsibility are not in the proposal. Their overall financial state is very little dependent on this funding and we can expect ongoing iteration and improvement of the service. 

    Desirability

    Unlike some other biosignals, EEG measurements are not yet too common among everyday people. However, there is a great untapped value when including EEG signals into holistic analysis of human health. There are also targeted problems to be solved and potential performance improvements in many areas of life by using EEG analytics. The current trend is and the state of technological development is moving towards increasing EEG utilization and the proposed service is well aligned with these developments.

     

    Usefulness

    There are many healthcare apps out there, also in the SNET ecosystem, that will need to integrate EEG components into their systems. All the web3 and biomedical AI innovations are backing this individual service as well. The funding request for this project is focusing purely on the AI service itself instead of the end-user application or service design. 

     

  • 0
    user-icon
    Onize Olie
    May 25, 2024 | 6:24 AM

    Overall

    5

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Improving Cognitive & Mental Well-Being with AI

    I'm totally on board with the SkyBrain Neurotech project! I think it's a solid idea with a lot of potential. It is clear that the initiative is set to revolutionize cognitive and mental well-being by integrating EEG-based neurotechnology with advanced AI/ML algorithms, blockchain, and the Internet of Medical Things (IoMT). The project's foundation lies in its innovative approach to addressing the inefficiencies and limitations of current cognitive and mental health assessments. By leveraging real-time data analysis and continuous monitoring, they can offer precise, personalized interventions that are both scalable and accessible.

    The core strength of this project is the integration of AI/ML algorithms capable of real-time pattern recognition and predictive analytics from EEG data. This ensures timely and accurate assessments, enhancing the quality of care in healthcare, education, sports, and workplace wellness sectors. Furthermore, the use of blockchain technology guarantees data privacy and integrity, fostering trust and compliance with data protection regulations.

    Thus, the solutions are not only technically sound but also align with SingularityNET’s mission to democratize AI and enhance human cognition and mental health with ethical and innovative technologies. By addressing a significant gap in the market and offering a robust, secure, and scalable solution, SkyBrain Neurotech is well-positioned to succeed and make a meaningful impact on cognitive and mental health care globally.

     

  • 0
    user-icon
    TrucTrixie
    Jun 9, 2024 | 2:26 PM

    Overall

    5

    • Feasibility 5
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Strengthen relationships with relevant parties

    I would like to know the role of organizations involved in implementing this proposal. Clearly they are indispensable factors when the proposal comes into operation. How has the team proactively connected with organizations/government/stakeholders so that when there is an actual product, this product will be supported when put into use? I think we should strengthen relationships with them as a way to develop the surrounding environment well.

  • 0
    user-icon
    Max1524
    Jun 9, 2024 | 10:03 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 3
    • Usefulness 4
    Commendable for identity transparency

    This is the most impressively presented proposal in terms of publicizing the identities of all team members. All 8 members publicly revealed their identities via linkedin, which is impressive. I really like this because this clarity of identity further strengthens the Feasibility of the proposal. There must be people with full credentials to be able to make the proposal successful. This is obvious.

  • 0
    user-icon
    mivh1892
    May 23, 2024 | 12:29 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    Real-time EEG Analysis with AI-Driven Insights

    Feasibility:

    • Need: The demand for effective mental health and cognitive assessments is significant and growing.
    • Solution: SkyBrain Neurotech\'s integration of EEG-based neurotechnology, AI/ML algorithms, IoMT, and blockchain addresses the limitations of traditional methods.
    • Technical Expertise: The project team possesses the necessary expertise in neurotechnology, AI/ML, IoMT, and blockchain.

    Sustainability:

    • Business Model: The proposed AI/ML-driven neurotechnology services can generate revenue through subscriptions, partnerships, and data licensing.
    • Continuous Improvement: The commitment to open-source development and continuous research ensures ongoing improvement and adaptation.
    • Strong Team: The experienced and diverse project team brings together the necessary skills and experience for long-term sustainability.

    Desirability:

    • Market Need: The increasing awareness of mental health issues and the demand for personalized, data-driven solutions align with SkyBrain Neurotech\'s offerings.
    • User Benefits: The ability to monitor, analyze, and intervene in real-time addresses the need for timely and effective mental healthcare.
    • Data Privacy and Security: The emphasis on blockchain-based data security and privacy protection addresses user concerns and builds trust.

    Usefulness:

    • Solves a Real Problem: SkyBrain Neurotech tackles the shortcomings of traditional mental health assessments and interventions.
    • Creates Value for Users: The personalized and data-driven approach empowers individuals to manage their mental health and improve cognitive function.
    • Enhances SingularityNET Ecosystem: The project aligns with SingularityNET\'s mission to democratize AI and contributes to the development of a decentralized AI ecosystem.

  • 0
    user-icon
    Duke Peter
    Jun 9, 2024 | 10:59 AM

    Overall

    4

    • Feasibility 4
    • Viability 5
    • Desirabilty 5
    • Usefulness 4
    SkyBrain Neurotech: Revolutionizing Neurotech

    The SkyBrain Neurotech project appears to have a high degree of feasibility, usefulness, and viability. The project is feasible given the team's expertise in neuroscience, AI/ML, blockchain, and embedded systems, as well as the increasing availability of EEG neurotechnology and IoMT devices. The project's usefulness is evident in its potential to revolutionize cognitive and mental health assessments, offering real-time monitoring, personalized interventions, and enhanced data security compared to traditional methods. The project's viability is supported by its alignment with the growing trend of utilizing AI in healthcare and the increasing demand for accessible and personalized mental health solutions. The project's integration of blockchain technology ensures data privacy and integrity, addressing a critical concern in the healthcare industry. The diverse use cases across healthcare, workplace wellness, education, sports, and gaming further demonstrate the project's potential for broad impact and commercial success.

  • 0
    user-icon
    Nicolad2008
    Jun 10, 2024 | 4:32 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    data processing and analysis

    The combination of EEG and AI/ML brain technology with blockchain and IoMT not only ensures accuracy in assessment and intervention but also data security and continuous monitoring. This project promises to bring practical benefits in health, sports, education and the workplace.
    However, the project also faces some challenges. The integration of high technology needs to ensure ease of use and accessibility for end users. In addition, processing and analyzing big data from EEG requires AI systems to be extremely powerful and accurate. Finally, maintaining data security and privacy in the blockchain environment is also a point of focus. This project requires not only technological advancement but also acceptance from the community and regulators.

  • 0
    user-icon
    CLEMENT
    Jun 1, 2024 | 10:28 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    A significant advancement in cognitive care

    Kudos to the team for this wonderful well thought approach to revolutionizing cognitive care. From all asessments, it appears this project offers precise assessments and interventions across various domains including healthcare, sports, education, and workplace wellness. This not only enhances individual well-being but also contributes to the broader understanding and management of mental health issues. In a long run, this project will not only enhance individual well-being, but will also contribute to the broader understanding and management of mental health issues.

    Additionally, speaking to desirability and usefullness, SkyBrain Neurotech has the potential to expands the SNET marketplace\'s portfolio of services, catering to a wide range of users seeking innovative solutions for mental well-being. I am also drawn by the detailed presentation of the team\'s strength and experience in relation to this project. This speaks to the feasibility and viability of this project. 

  • 0
    user-icon
    Joseph Gastoni
    May 21, 2024 | 1:10 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    an EEG-based neurotechnology system

    This proposal outlines an EEG-based neurotechnology system with AI/ML, IoMT, and blockchain integration for cognitive and mental health assessments and interventions. Here's a breakdown of its strengths and weaknesses:

    Feasibility:

    • Moderate-High: The core EEG technology exists, but integrating AI for real-time analysis and effective interventions requires further development.
    • Strengths: The proposal leverages existing technologies and addresses a growing need for advanced mental health solutions.
    • Weaknesses: Developing robust and reliable AI models for real-time analysis of complex brain activity is challenging. Regulatory approval for medical applications could be a lengthy process.

    Viability:

    • Moderate: Success depends on clinical validation, regulatory approval, user adoption, and a sustainable business model.
    • Strengths: The proposal offers a potentially scalable solution with applications in various sectors beyond healthcare.
    • Weaknesses: The proposal lacks details on the cost of the system and reimbursement strategies for potential healthcare applications.

    Desirability:

    • Moderate-High: For individuals seeking personalized mental health support and institutions seeking advanced assessment tools, this is desirable.
    • Strengths: The proposal offers a potentially more objective and continuous approach to cognitive and mental health assessment.
    • Weaknesses: The proposal needs to address concerns about the accuracy and interpretation of AI-based analysis of EEG data. User concerns about data privacy and potential misuse also need to be addressed.

    Usefulness:

    • Moderate-High: The platform has the potential to improve mental health monitoring, interventions, and overall well-being.
    • Strengths: The proposal offers a comprehensive approach that combines continuous monitoring, AI-driven analysis, and personalized interventions.
    • Weaknesses: The proposal lacks details on how the platform will ensure the effectiveness of its interventions and adapt to individual needs over time.

    Competitive Advantage:

    • Integration of EEG with AI/ML, IoMT, and blockchain for comprehensive and secure neurotechnology solutions.
    • Real-time analysis and personalized interventions for cognitive and mental health.

    Overall, SkyBrain Neurotech has the potential to be a disruptive force in the mental health space. However, focusing on:

    • Conducting rigorous clinical trials to validate the accuracy and effectiveness of the AI-based analysis and interventions.
    • Obtaining regulatory approvals for medical applications, especially for mental health diagnoses and treatment.
    • Developing a clear pricing strategy and exploring reimbursement models for potential healthcare applications.
    • Prioritizing data security and privacy by ensuring user control over data and transparent communication about data usage.
    • Addressing ethical considerations related to AI bias in mental health assessments and potential social implications of neurotechnology.

    By addressing these considerations, SkyBrain Neurotech can become a valuable tool for promoting mental healthcare and well-being across various sectors.

  • 0
    user-icon
    Gombilla
    Jun 10, 2024 | 10:40 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 4
    precise assessments and interventions in Health

    This is a well put idea and I would first speak to user acceptance. Gaining user trust and acceptance of these advanced technologies, particularly in sensitive areas like mental health, can be challenging and requires clear communication and demonstration of benefits.

    However, I believe that this will offer precise assessments and interventions across various sectors such as healthcare, sports, education, and workplace wellness. On a larger scale, this contributes to global health. 

  • 0
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    Tu Nguyen
    May 22, 2024 | 2:45 PM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 4
    • Usefulness 5
    AI-Enhanced Neurotech For Mental Well-Being

    The problem this proposal would address is the ineffectiveness and inaccessibility of current cognitive and mental health assessments. Traditional methods lack real-time monitoring, personalization, and robust data security, leading to delayed and inaccurate diagnoses. The solution to this proposal: they will leverage advanced AI/ML algorithms to enhance mental and cognitive healthcare through EEG-based neurotechnology, IoMT, and blockchain. They will focus on AI/ML algorithms, emotion mapping and biomarker recognition, IoMT integration, and personalized interventions. Their solution fits the problem they were given. They also shared 6 key use cases. In general, the information given is quite detailed.
    Information about the team is quite complete, they have shared the Linkdein links of the members
    Some other ideas: they should define the start and end times of the milestones. They should define a more detailed budget based on milestones. For example, in milestone 2, how much USD do they need to collect and pre-process EEG data from the public emotional EEG database.

  • 0
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    BlackCoffee
    Jun 10, 2024 | 1:24 AM

    Overall

    4

    • Feasibility 4
    • Viability 4
    • Desirabilty 5
    • Usefulness 4
    Should survey user opinions

    The advanced technology integrated in SkyBrain Neurotech is remarkable, it proves the fact that technology is always at the forefront of enhancing human life (in the field of health, education and several other fields). On the other hand, I think user acceptance is the deciding factor in the success of the proposal. Therefore, I think the team should conduct a survey first to see what user opinions are, whether users respond to this technological proposal - and then, based on that, adjust to suit user opinions - If you do so, users will accept it.

  • 0
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    Emotublockchain
    Jun 8, 2024 | 8:09 PM

    Overall

    3

    • Feasibility 3
    • Viability 4
    • Desirabilty 4
    • Usefulness 3
    Consider SkyBrain Neurotech\'s Ethical Implications

    SkyBrain Neurotech presents an integration of cutting-edge technologies EEG based neurotechnology, AI/ML algorithms, blockchain, and IoMT. The use of AI/ML for pattern recognition and predictive analytics from EEG data can provide valuable insights for mental well-being interventions. The real-time decision-making aspect is particularly compelling for applications in healthcare, sports, education, and workplace wellness. The seamless combination of these technologies is not only feasible but also addresses current gaps in continuous mental health monitoring and personalized interventions.

     The viability of SkyBrain Neurotech is high given the increasing awareness and demand for mental health solutions. The market for neurotechnology and AI-driven healthcare is expanding rapidly. By offering precise assessments and interventions, SkyBrain can cater to diverse sectors, increasing its market reach and potential for scalability. However, the project’s success will depend on effective implementation, user adoption, and ongoing innovation to stay ahead in a competitive market.

     

    Focal Areas

     

    Ensure that the user interface and experience are intuitive and user-friendly, especially for non-technical users in healthcare, education, and other fields. User training and support will be crucial to maximize adoption and satisfaction.

     

    Conduct rigorous clinical trials and studies to validate the efficacy and safety of your neurotechnology solutions. This will build trust with potential clients and regulatory bodies, and help establish credibility in the market.

     

    Prioritize data security and privacy beyond using blockchain. Implement comprehensive data protection measures and comply with relevant regulations such as GDPR and HIPAA to protect user data and maintain trust.

     

     Establish partnerships with healthcare institutions, research organizations, and industry stakeholders. Collaborations can provide valuable insights, enhance credibility, and facilitate the integration of your technology into existing systems.

     

    Develop and adhere to ethical guidelines to ensure the responsible use of your technology.

    Focusing on continuous improvement and user engagement, SkyBrain Neurotech can enhance its project’s workability, viability, and market impact, contributing significantly to the growth and success of the decentralized AI platform.

Summary

Overall Community

4.2

from 13 reviews
  • 5
    3
  • 4
    9
  • 3
    1
  • 2
    0
  • 1
    0

Feasibility

4

from 13 reviews

Viability

4.1

from 13 reviews

Desirabilty

4.2

from 13 reviews

Usefulness

4.4

from 13 reviews

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