International Journal of Science, Engineering and TechnologyAuthors: Prof.S.P.Gunjal, Shivraj Kakde, Rohan Kale, Atish Kharde, Rushikesh Mate
Abstract: Farmer Helper App is a mobile-based solution developed to simplify identification of agrochemical products. Application integrates Artificial Intelligence (AI) with Optical Character Recognition (OCR) to allow farmers to capture images of product labels using smartphones. Captured data is processed to extract essential information including usage instructions, recommended dosage, suitable crops, and safety precautions. System architecture consists of a Python FastAPI backend combined with a Flutter-based frontend, ensuring efficient performance and user-friendly interaction. Offline functionality is incorporated, enabling usability in rural regions with limited internet connectivity. This solution provides a cost-effective and reliable approach that supports farmers in making informed and safer agricultural decisions.
