ThereForYou

Enhanced Public Safety: ThereForYou

ThereForYou is a groundbreaking solution aimed at enhancing public safety, particularly focusing on mental health support and suicide prevention. Leveraging cutting-edge technologies such as artificial intelligence (AI), machine learning (ML), natural language processing (NLP), and blockchain, our project offers accessible and empathetic assistance to individuals facing mental health challenges.

Key Features

Part 1: AI Psychologist

• Dynamic Voice Adjustment: Our AI assistant dynamically adjusts its voice to match the user's gender, enhancing engagement and personalization.
• Emotion Detection: Utilizing algorithms, the assistant detects signs of sadness or depression in user speech, securely storing this data using blockchain technology for potential future counseling sessions.
• Empathetic Support: In moments of distress, sadness, or depression, the AI psychologist offers empathetic support and practical advice to encourage users towards positive steps forward.

Part 2: Suicide Prevention Model

• Choking Detection: We have developed an API powered by advanced machine learning models that can detect signs of choking in users. Upon detection, it immediately sends alerts with location data of the victim to nearby users and authorities, including police officers, ensuring prompt assistance in critical situations.
• Reward System: Users who assist individuals in choking incidents are rewarded with HealthTokens, redeemable at hospitals. This incentivizes community involvement in assisting those in need.

Part 3: Voice-Activated Safety Alert System

• NLP-Based Danger Detection: Our advanced NLP model detects danger signals from user speech. Upon detection, nearby users and authorities such as police officers are alerted through push notifications about the location and condition of the victim.
• Reward Mechanism: Similar to Part 2, individuals who respond to safety alerts and assist those in danger are rewarded with HealthTokens.
• Link to safety system => https://vhelp.onrender.com/
• App link could not be shared because of security reasons

Videos:

PART 1:

https://github.com/Atharv714/nationalhackathon/assets/142321494/f8e68f17-ec9b-46f5-94c1-f09af9d5afa3

PART 2:

https://github.com/Atharv714/nationalhackathon/assets/142321494/8de7ae5d-30b6-48f8-a58c-c4c9c1ce8bf4

PART 3 (MUST WATCH):

https://github.com/Atharv714/nationalhackathon/assets/142321494/c13cde81-8ab2-4999-aa0c-916c5551d54d

Tech Stack

Frontend

• HTML/CSS
• JavaScript
• Flutter

Machine Learning

• TensorFlow
• Natural language processing
• Scikit-learn
• SpaCy
• NLTK
• OpenCV

Backend

• Flask
• OpenAPI
• Google Web Speech API
• PyAudio
• Node.js
• Firebase

Mentor: Atharv Rastogi

Roadmap for NeuroWellness AI

Q1 2025 - Initial Development and Expansion

AI-Powered Diagnostics: Enhance AI psychiatrist capabilities by integrating additional models for personalized mental health support. Facial Expression & Voice Recognition Integration: Improve emotion detection algorithms and refine the accuracy of facial and voice recognition. Blockchain Integration: Ensure that all data is encrypted and stored securely for privacy with blockchain-backed solutions.

Q2 2025 - Pilot and Community Engagement

Launch Pilot Programs: Begin testing the platform with a select group of users to collect feedback and refine AI models. VHelp Community Launch: Expand the VHelp feature to facilitate users connecting with nearby mental health professionals. Health Token System: Implement the health token system, allowing users to earn rewards for helping others.

Q3 2025 - Expansion and Scaling

Smartwatch Integration: Incorporate wearable tech into the platform to monitor real-time health metrics (heart rate, sleep patterns, etc.) and trigger emergency alerts. Large-Scale Deployment: Expand access to a broader user base, focusing on underserved regions for mental health support. AI Diagnosis Enhancements: Further improve AI-driven diagnosis features, offering more accurate prescriptions and emergency recommendations.

Q4 2025 - Long-Term Vision

Cross-National Partnerships: Collaborate with global organizations to increase the reach of NeuroWellness AI to international markets. Full Integration with Healthcare Providers: Build relationships with medical institutions for deeper integration of the platform into existing healthcare systems. Continuous AI Learning: Implement continuous learning techniques to ensure that the AI system adapts to new data and insights, improving over time.

Note: Pull Request may take some time to be merged into the repository. If there are any issues, we will inform you; otherwise, it will be merged eventually. Please don't worry :)