Empathy AI

Project Overview

An AI-powered multimodal mental health platform that analyzes text, voice, and facial expressions to understand user emotions and provide personalized therapy recommendations. The system integrates machine learning models, conversational AI, secure authentication, and real-time analytics to deliver an intelligent and privacy-focused mental wellness experience.

Key Highlights & Impact

• Designed and delivered 15+ modular frontend and backend software features.
• Developed 20+ secure REST APIs with token validation and custom access controls.
• Achieved 95% emotion classification accuracy using deep learning ensembles.
• Reduced application response latency by 35% through custom caching configurations.