Things are finally starting to come together. In this phase, I focused on taking PASHURAKSHA AI beyond just a basic prototype and making it feel more like a real livestock health platform. I worked on connecting the AI health assessmentwith the FastAPI backend and database, so information like symptoms, temperature, appetite and activity can be used for health-risk analysis. I also worked on the dashboard and turned it into a proper Command Center, where we can see farmers, animals, health reports, high-risk cases, disease patterns, outbreak alerts and veterinary cases all in one place. Alongside the frontend, I spent quite a bit of time working with FastAPI, PostgreSQL and REST APIs and, honestly, getting all these pieces to communicate properly has been one of the more challenging parts so far. 😅 But that’s also where most of the learning is happening. The goal isn’t just to make an AI model that gives a prediction — it’s to build something that can actually help turn that prediction into an action. There’s still a lot of testing and debugging left, but the project is definitely starting to look and feel like what we originally imagined. 🚀