What it does
Upload photos or run live webcam detection. The app analyzes images with fruit-specific models for banana, mango and orange and returns a confidence score and guidance.
About Fruit Care AI
Fruit Care AI brings lightweight YOLO-based models to a simple web UI so growers and quality teams can screen fruit for disease, rot and ripeness issues quickly.
Models
Each supported fruit has a trained model under `train/weights` (mango), `train2/weights` (banana) and `train4/weights` (orange). Models use Ultralytics YOLO for fast inference.
Use cases
Quality control, farm-level screening, grading pipelines, and educational demos. The system can be extended with more training data and new fruit categories.