Plant Disease Prediction Using Deep Learning. (Graduation Project 2023) Bioinformatics, Faculty of Computer and Information Science at Ain Shams University

WebGL port of EfficientNet using tinygrad

AI-powered agricultural assistant for Pakistani farmers — crop disease detection, fertilizer recommendations & irrigation planning in Urdu

Melanoma is a deadly disease. Image analysis tools that automate the diagnosis of melanoma will improve dermatologists' diagnostic accuracy.

Machine learning system for early Parkinson’s disease prediction using multimodal biomedical data (voice and handwriting) with Random Forest and EfficientNet models.

An ML-powered system to detect and classify aircraft as Civilian, Military, or UAV with high accuracy.

This Arsenic Disease Detection Tool, Dermacare successfully utilizes the potential of machine Learning and image processing techniques to classify skin images as healthy or infected and assess the severity of arsenic-related skin conditions. Along with this it also provides a list of nearest dermatologists for emergency.

Fallacy Finder a deepfake detection page

AI-powered fingerprint pattern classifier with blood group statistical correlation — Full stack ML app built with EfficientNetB0, Flask, React & TFLite

🤖 Simplify machine learning with automl—a local, browser-based tool for regression and classification using advanced algorithms like Decision Trees and Gradient Boosting.