Offline AI crop disease scanner with a custom leaf dataset.
AgroVision AI Pro: Zero-Cost Offline AI Crop Disease Scanner The Product AgroVision AI Pro is a production-ready Progressive Web App (PWA) designed to instantly detect agricultural crop leaf diseases. Unlike traditional server-heavy AI tools, this application runs entirely offline on the client side. This means absolute zero monthly server, cloud, or API costs. The Technology & Proprietary Data Moat The core of this asset is a custom-trained 47-class Convolutional Neural Network. Quality AI requires pristine data. This model wasn't trained on generic, scraped image dumps. The proprietary dataset was meticulously curated to include exclusively plant leaves—completely eliminating visual interference from branches, soil, or fruits. This strict data isolation guarantees robust diagnostic accuracy in real-world field conditions. Engineered with the rigorous machine learning standards of a BSc Computer Science (Artificial Intelligence) background, the architecture leverages TensorFlow.js to deliver lightning-fast inference directly within the user's browser, on any device. The Value Proposition & Justification The valuation is strictly based on the replacement value of the intellectual property, the highly filtered dataset, and the optimized codebase. Building this from scratch would require a buyer to spend months sourcing and cleaning data, alongside paying premium engineering salaries to train the model and build the PWA. You are acquiring a turnkey agritech asset and a robust data moat from day one. What is included in the sale? Full front-end source code for the PWA (HTML/CSS/JS). The proprietary trained ML model weights and architecture. The exclusive, noise-free, leaf-only dataset. Full intellectual property and commercial rights. Promotional and brand assets. 30 days of post-sale email support to ensure a seamless technical handover. This is a rare opportunity to acquire a fully functional, zero-maintenance AI software asset ready for immediate monetization, deployment, or integration into a larger agritech portfolio.
Next step: <p><strong>Growth & Scaling Opportunities:</strong></p><ol><li data-list="ordered"><strong>Commercial Rollout:</strong> Package the PWA for agricultural co-ops, enterprise farms, or agronomists as a white-label mobile diagnostic tool.</li><li data-list="ordered"><strong>App Stores Distribution:</strong> Wrap the progressive web app using Capacitor or Cordova to list it natively on Google Play and Apple App Store.</li><li data-list="ordered"><strong>Model Expansion:</strong> Utilize the included Python training pipeline (<code>training/</code>) and the IndexedDB quarantine ZIP export loop to continuously retrain the model and expand the crop/disease database beyond the initial 47 classes. </li><li data-list="ordered"><strong>API Monetization:</strong> Wrap the core TensorFlow.js engine into a cloud or edge API service for third-party agritech integrations.</li></ol><p><br></p>
For sale
Asking price: $7,100 USD
What's included
Source code, All related data, All related design work
Full intellectual property and commercial rights to the AgroVision AI Pro brand and architecture. Multi-language UI packs (30+ locales). Disease knowledge base, farm advice data, and localized weather integration logic. Optional Python training/export tooling (training/ and tools/server.py) for future model fine-tuning. 30 days of post-sale email support to ensure a seamless technical handover.
Reason for selling
I am busy with other things and no longer have time to maintain this project.
Project metrics
Average Monthly Visitors: Pre-launch
Average Monthly Revenue: Pre-revenue
Average Monthly Downloads: Pre-launch / New project
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