Contact person: Business Client

Phone:Show

Email:Show

Location: Udaipura, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I need a lean proof-of-concept that lets a smallholder farmer open a web page, choose a crop image from their phone or computer, and receive an instant, AI-generated diagnosis plus concise treatment advice.

Core requirements
• Single-page web app (mobile-friendly).
• Simple file-upload widget for the photo; no live camera capture at this stage.
• Back-end endpoint loads my pre-trained model (Python, TensorFlow/Keras or PyTorch—whichever you prefer) and returns:
– disease or pest identified,
– severity score, and
– short, actionable recommendations.
• Optional field for the farmer to attach a small CSV or Excel file with local weather or soil readings; your script should parse the sheet, append the values to the inference request, and adjust the advice accordingly.
• Clean JSON logging so the data can later feed a monitoring dashboard.

Keep the UI vanilla (HTML, CSS, a lightweight JS framework is fine) and concentrate your time on wiring the upload, model inference, and response formatting. A brief README with setup steps and sample input files will complete the delivery." (client-provided description)