Inspiration
The inspiration behind this project stems from the growing need for accessible and reliable mental health support. Many individuals, especially students and young professionals, often struggle with mental well-being but face barriers such as stigma, lack of time, and difficulty finding the right professional help. We wanted to create a platform that offers a safe and convenient space for users to seek support, whether through real-time chat with an AI wellness guide or by booking confidential appointments with mental health professionals.
What it does
Our project, WayneHelp, is a app that allows users to [key functionalities, e.g., book appointments with professionals, engage in real-time chat conversations, and access personalized recommendations based on their profiles. With features like secure authentication, real-time chat, and an intuitive interface, users can easily navigate and utilize the platform to meet their goals.
How we built it
Frontend: React.js with Vite for a fast and optimized user experience, styled with CSS. Backend: Flask (Python) for handling server-side logic and REST API development. Database: SQLite for lightweight data storage and management. Authentication: JWT (JSON Web Token) for secure login and session handling. APIs Used: OpenAI API for intelligent responses, Anthropic API for contextual interactions.
Challenges we ran into
Backend Integration: Ensuring seamless communication between the React frontend and Flask backend. Database Handling: Overcoming issues related to database migrations and ensuring data consistency. Authentication: Implementing robust security measures while maintaining ease of use for users. Time Constraints: Managing project deadlines and dividing tasks efficiently within the team.
Accomplishments that we're proud of
Successfully integrating AI-powered features to enhance user interactions. Building a fully functional prototype within a limited timeframe. Creating a responsive and user-friendly UI that received positive feedback from early testers. Overcoming technical hurdles related to API integration and data storage.
What we learned
The importance of planning and structuring our codebase efficiently. Optimizing API calls to ensure performance and scalability. Enhancing our understanding of Flask blueprints and frontend-backend communication. Managing deployments and troubleshooting unexpected runtime errors.
What's next for Untitled
Expand Features: Add more functionalities such as calendar integration and personalized notifications. Enhance UI/UX: Improve the user experience with better design elements and interactive components. Scale the Project: Transition to a more scalable database like PostgreSQL or Firebase for improved performance. Mobile App Development: Explore building a mobile version of the platform to reach a wider audience. User Feedback: Conduct more user testing and iterate based on feedback to make the platform even better.
Log in or sign up for Devpost to join the conversation.