Case Study · 09 / 10
Computer Vision for Agriculture & Health
Enabled real-time rural diagnostics without internet dependency and delivered affordable AI access for underserved users.
Computer VisionMobile Computer Vision
Offline
Runs
Real-time
Latency
Low
Cost
Challenge
No real-time mobile tools existed for rural disease or posture detection, and existing solutions required expensive infrastructure or constant connectivity.
Solution
Built an offline-capable image classifier deployed on lightweight, low-cost Android devices for real-time field diagnostics.
Impact
Enabled real-time rural diagnostics without internet dependency and delivered affordable AI access for underserved users.
Tech stack
TensorFlow LitePyTorch MobileAndroidOpenCV
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