🤖 Artificial Intelligence & Machine Learning
Intermediate
$5k - $25k
Mobile-first Crop disease detection app for schools
A fast, offline-friendly mobile app that puts crop disease detection in the pocket of every one of schools.
- Target audience
- Schools
- Problem solved
- Access to quality crop disease detection is limited for schools, especially outside the big cities.
- Solution
- Launch as a lean web app using PyTorch, TensorFlow and Python, starting with one core workflow done exceptionally well.
- Technologies
- PyTorch, TensorFlow, Python
- Monetization
- AI consulting; Custom model training
- Challenges
- Poor data quality; High GPU and API costs
- Improvements
- Add Urdu language support to reach a wider local audience.; Build an analytics dashboard so users can measure their ROI clearly.