ADVAITH DABILIPURAM

Developed an AI-assisted healthcare recovery monitoring platform combining a Flutter mobile app with a FastAPI backend and PostgreSQL for patient and recovery tracking. Implemented modular REST API workflows for scalable healthcare operations, packaged with Docker and deployed using Google Cloud. Added Gemini-powered multilingual voice check-ins, computer-vision meal analysis, and automated drug interaction detection to provide personalized recovery insights and safer medication guidance.

Built an AI-powered credit risk assessment platform using Python, Machine Learning, Streamlit, Pandas, and REST APIs. Engineered an end-to-end ML pipeline for financial data preprocessing, feature engineering, and credit scoring to support real-time loan eligibility prediction via an interactive web UI. Designed a modular backend architecture to automate data extraction and risk analysis through REST API integration, enabling scalable deployment and future model expansion.

Engineered a configurable AI chatbot using Flask and Groq LLM APIs for low-latency conversational responses. Designed adjustable AI personality parameters (e.g., humor, honesty, authority compliance) to enable adaptive conversational behavior. Implemented scalable session management and modular backend services to support persistent conversations and clean API orchestration, structured for future extensibility.