AgriMind AI
Built and deployed an AI-powered agricultural assistant using Flask and Groq LLMs with conversational responses and session-based context. Integrated speech-to-text and text-to-speech services, Redis with an in-memory fallback for conversation memory, and a modular service-oriented backend deployed on Render with Gunicorn and environment-based configuration.