Found 14 repositories(showing 14)
Lance19Kent
The Final System of CropCare Features with UI web-based application that can monitor, notify, and track sensors and use camera to detect plant diseases.
vivekpatel7828
No description available
sabbir-404
No description available
Nithininturi
No description available
KATHANJAIN1311
No description available
SuhaniSharma43434343
No description available
Shailesh1407
CropCare AI is a multimodal web-based crop disease prediction system that leverages Computer Vision, Natural Language Processing (NLP), and Machine Learning to detect crop diseases and assess risk levels.
kumawatprateek
CropCare AI is a deep learning-based application for detecting potato diseases using image classification. It includes a web and mobile interface, an API powered by FastAPI, and deployment options on GCP for scalable access.
Kranthi-3027
CropCare is an AI-powered web application designed to assist with agricultural analysis. It allows users to upload documents and images related to farming and receive instant insights, summaries, and answers to their questions in multiple language.
riya-nalamwar4
CropCare is an AI/ML-powered web application that predicts 39 different plant leaf diseases using a trained ResNet-50 model and provides remedies + supplement recommendations. It includes multilingual support (English, Hindi, Marathi) using Flask-Babel.
harshavardhan3108
CropCare Guide is a mobile-first web application designed to help hobbyist gardeners and smallholder farmers manage their crops. The project runs entirely in the browser, stores all data locally using `localStorage`, and works offline without a backend server.
Aishwaryashettar019
CropCare is a real-time web platform empowering farmers. Using ML for crop disease detection and insights, it provides live crop prices, expert advisory, a seeds & fertilizers marketplace, voice & multilingual input, and nearby market discovery via maps for smarter decisions.
snehal-subhash-jagtap
CropCare is an AI/ML-powered web application that predicts 39 different plant leaf diseases using a trained ResNet-50 model and provides remedies + supplement recommendations. It has multilingual support (English, Hindi, Marathi).It provides preventive action and shows heat maps to identify more infected region. send report via whatsapp to farmers.
SakshiGopalShinde
CropCare AI is an end-to-end crop disease detection platform that enables farmers to upload plant images and receive instant AI-based diagnosis along with actionable crop-care recommendations. The system combines deep learning models, a scalable Java backend, and a responsive Flutter Web interface to deliver real-time, multilingual support.
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