Contact person: Business Client

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Location: Aurangabad, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I am building a computer-vision tool that lets farmers upload a 10–15-minute video of a cow and instantly receive a quantified fertility score (e.g., “87% fertile”) plus a timed recommendation such as “inseminate within the next 24–48 hours.” The model needs to read subtle tail movements, levels of restlessness and standing posture, then translate those signals into clear guidance a farmer can act on.

Here is what I need from you:

• End-to-end TensorFlow pipeline
‑ ingest the video, run the trained model, return the probability and recommended window.
• A clean, responsive dashboard served on both web and mobile. The same codebase is fine as long as it adapts smoothly.
• Real-time alerts pushed to the farmer’s phone or browser the moment the prediction crosses a configurable threshold.
• A historical view so the user can compare past cycles, spot patterns and download CSV summaries.

I will supply sample footage and any existing label data; you handle model refinement, back-end APIs and the front-end UI/UX polish. Final deliverable is a fully deployable solution with source code, brief setup docs and a live demo instance." (client-provided description)