AI Therapy Application

Full Stack Project

Python Flask OpenAI Healthcare AI REST API

AI Therapy Application

Mental health support app with AI-powered chatbot using OpenAI API

AI Therapy Application

Project Overview

Problem Statement

Mental health support is often inaccessible due to cost, availability, and stigma. Many individuals need immediate support but face barriers in accessing professional help. This project addresses the need for an accessible, private, and immediate mental health support tool.

Key Features

  • AI-powered conversational therapy chatbot using OpenAI GPT-4
  • Secure user authentication and session management
  • Real-time chat interface with contextual understanding
  • Privacy-focused architecture with encrypted conversations
  • Responsive design for mobile and desktop access
  • Sentiment analysis for monitoring user emotional state

Technical Implementation

Built with Flask backend integrated with OpenAI API for natural language processing. Implements RESTful API architecture for chat interactions. Uses session management for conversation context and user data protection.

Frontend

HTML5, CSS3, Tailwind CSS, JavaScript

Backend

Python, Flask, OpenAI API

Testing

pytest, unittest, API mocking

Deployment

Docker, Caddy, Digital Ocean

Challenges & Solutions

Key challenges included managing API rate limits, maintaining conversation context across sessions, ensuring user privacy, and creating a natural conversational flow. Implemented caching strategies, session state management, and robust error handling to address these issues.

Results & Impact

Successfully deployed application providing 24/7 mental health support access. Maintains conversation context across sessions with low latency responses. Positive user feedback on conversational quality and accessibility.