CompletedPythonFastAPIUvicorn+3 more
BrainMate AI
AI Mental Health Therapist App built with Python, FastAPI, Streamlit, LangChain, and LangGraph for conversational therapy support.
Timeline
3 weeks
Role
Full Stack
Team
Solo
Status
CompletedTechnology Stack
Python
FastAPI
Uvicorn
Streamlit
LangChain
LangGraph
Key Challenges
- Conversational AI Design
- Data Pattern Analysis
- Real-time Processing Pipeline
- Response Quality Evaluation
Key Learnings
- LangChain Agent Workflows
- LangGraph State Machines
- FastAPI Backend Architecture
- Streamlit UI Development
- Mental Health AI Ethics
BrainMate AI: Mental Health Therapist App
Overview
BrainMate AI is an AI-powered Mental Health Therapist application that supports conversational therapy through intelligent data pattern analysis and behavioral insights.
Key Features
- Conversational AI: Analyzed conversational and behavioral data patterns to support decision logic within a mental health analytics system, enabling structured evaluation of user interactions, response quality, and system effectiveness.
- Real-time Processing: Built Python-based real-time data processing pipelines and designed analytical metrics to monitor response latency, system reliability, and workflow efficiency.
- Continuous Monitoring: Supporting continuous monitoring and performance evaluation across the platform.
Tech Stack
- Python
- FastAPI + Uvicorn
- Streamlit
- LangChain
- LangGraph