A full-stack platform that predicts wildfires from satellite imagery with user authentication and history tracking.
A TensorFlow/Keras model classifies satellite imagery as wildfire or no-wildfire with a confidence score, served by a FastAPI backend that also handles JWT-based registration, login and session management. Every prediction is logged to SQLite and scoped to the user who made it.
Wildfires are cheapest to contain in their first hour, but satellite imagery is reviewed on a schedule rather than continuously. Prediction tools also tend to be notebooks, not systems anyone can actually log into and use.
Wrap the classifier in a real application with authentication, session handling and per-user prediction history, so it functions as an operational tool rather than an experiment.
Deep Learning Prediction
TensorFlow/Keras model classifies wildfire vs no-wildfire with confidence scoring.
JWT-Based Authentication
Secure user registration, login, and session handling.
FastAPI Backend
Serves prediction, history, and auth APIs alongside a responsive frontend.
Per-User History Tracking
SQLite-backed prediction logs scoped to each user.
Deep Learning
Backend
Frontend
Authentication
Users register and log in; JWT secures the session.
Image submission
Satellite imagery is uploaded for analysis.
Prediction
The model classifies wildfire risk with confidence.
History
The result is logged against the user's account.
Every project is quoted individually, because the price depends on the modules you need, your technology stack, your college's format and your deadline. Send us the project name on WhatsApp and we'll share a quote the same day.
Yes. Share your guide's requirements, preferred technology stack and abstract format, and we adapt the modules, dataset or UI accordingly.
That is the point of the explanation session. We walk you through the architecture, every module, the flow of data and the results, and hand over a viva question bank with answers.
We help you with setup end to end — dependencies, environment, database and configuration — over chat or a call until it runs on your machine.
Yes. Post-delivery support is included, so you can come back for fixes, doubts or demo help even after the project is delivered.
Get complete source code, documentation, PPT, explanation, and support.
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