Alyssa is an innovative application designed to provide mental health support through the power of Artificial Intelligence. This app leverages state-of-the-art Large Language Models (LLMs) and other advanced technologies to offer personalized mental health guidance, coping strategies, and resources. Developed by a team of four passionate students from ICT Ganpat University for a hackathon, this app aims to make mental health support more accessible and effective.

• Features
• Tech Stack
• Installation
• Usage
• Team
• Contributing
• License
• Acknowledgements

• Personalized Support: Tailored advice and coping strategies based on user input.
• Chat Interface: Interactive chat interface for real-time communication with the AI companion.
• Resource Recommendations: Curated list of mental health resources, articles, and exercises.
• Mood Tracking: Track and analyze your mood over time.
• Confidential and Secure: Ensures user privacy and data security.

• Frontend: React, Next.js, TypeScript
• Backend: Node.js, React
• AI: Llama3.1, Natural Language Processing
• Database: AWS RDS
• Authentication: Clerk
• Hosting: Akash Networks, IBM Cloud
• Additional Tools: Git, Docker

1. Clone the repository:

   git clone https://github.com/kariyaraj/mhc2.git
   mv mhc2 alyssa
   cd alyssa

2. Install dependencies:

   npm install

3. Set up environment variables: Create a .env file in the root directory and add the necessary environment variables. Refer to .env.example for the required variables.

4. Run the application:

   npm run dev

5. Open your browser: Navigate to http://localhost:3000 to access the app.

• Sign Up/Login: Create an account or log in using Clerk authentication.
• Chat with the AI Companion: Start a conversation and get personalized mental health support.
• Track Your Mood: Use the mood tracking feature to log and monitor your emotions.
• Explore Resources: Access a variety of mental health resources and exercises.

• Raj Kariya - GitHub Profile
• Dhyey Kathiriya - GitHub Profile
• Srijit Das - GitHub Profile
• Nityam Bhojani - GitHub Profile

We welcome contributions from the community. Please follow these steps:

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Commit your changes (git commit -m 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Open a pull request.

This project is licensed under the MIT License. See the LICENSE file for details.

We would like to thank our college and the hackathon organizers for providing us with this opportunity. Special thanks to OpenAI for their powerful LLM and the community for their continuous support and inspiration.