Day 2 of working on PASHURAKSHA AI was mainly focused on getting the backend and core health intelligence system properly connected. I worked on integrating FastAPI with PostgreSQL and connected the AI prediction system with the health reporting workflow. The system can now register farmers and animals, accept health reports with symptoms and basic health information, and generate a suspected disease, risk score and severity using the AI model. I also implemented automatic veterinary escalation for high-risk cases, including assigning cases to veterinarians and resolving them with notes. Another important part I worked on today was the Maharashtra-specific location structure with state, district, taluka and village information, along with the initial outbreak detection system. During testing, the system successfully identified 6 cases of Bovine Respiratory Disease in Shirpur, Dhule, Maharashtra and generated a HIGH ALERT. With the core backend now working, the next step is to start building the actual farmer, veterinarian and government-facing interfaces. 🚀