Hi, I'm Muh. Naufal!
Informatics student building Android apps that can see — using machine learning & computer vision.
Lets Gooo! 🍃
About Me
3rd Year Informatics Engineering Student at Universitas Muhammadiyah Sorong (UNAMIN) 🎓
I'm a third-year Informatics Engineering student at Universitas Muhammadiyah Sorong (UNAMIN), focused on Android development and machine learning for image classification. I build apps that run the model directly on the phone, so they keep working in places with no internet, which is the everyday reality for many farms and villages in Papua Barat Daya.
My main project, Banalea, detects banana leaf diseases such as Sigatoka, Cordana, and Pestalotiopsis from a single photo, so farmers can catch problems early without waiting for an expert.
Skills & Tech Arsenal
Every tool tested in the field and compiled on real devices
Banalea — Smart Banana Leaf Disease Detector
Instant on-device diagnostic camera classifying Sigatoka, Cordana, Pestalotiopsis, and Healthy banana foliage in milliseconds.
Lead Mobile Developer & ML Engineer — collected 3,500+ agricultural leaf dataset, trained dual MobileNetV4 & ResNet50 pipelines, optimized with TFLite for latency under 120ms on low-cost devices.
How It Works In The Field 3 Easy Steps
Take a Photo
Snap the affected leaf with CameraX auto-guide frame and real-time lighting detection.
On-Device Inference
Dual MobileNetV4 & ResNet50 run instant inference on-device without needing internet connection.
Instant Results
Get high-confidence diagnosis, severity score, and practical local organic remedy suggestions.
Classified Botanical Pathology
Black Sigatoka
Dark streaks along leaf veins caused by Pseudocercospora fijiensis.
Cordana Leaf Spot
Large oval spots with pale grayish center and bright reddish-brown border margins.
Pestalotiopsis
Necrotic spreading lesions starting from leaf tips, commonly caused by humidity distress.
Healthy Foliage (Sehat)
Vibrant emerald green surface with intact parallel veins and optimal photosynthetic rate.
Daun Sehat (Healthy Leaf)
On-device dual-backbone inference verifies healthy banana foliage with high confidence directly from field camera scans without network overhead.
Got an exciting project or want to collaborate?
Whether you want to chat about Computer Vision, Android development, or swap farming tech ideas, my inbox is always open!