AI-powered smart farming and blockchain marketplace platform integrating deep learning, predictive analytics, IoT, weather forecasting, and transparent crop trading for precision agriculture.
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Updated
Jul 7, 2025 - JavaScript
AI-powered smart farming and blockchain marketplace platform integrating deep learning, predictive analytics, IoT, weather forecasting, and transparent crop trading for precision agriculture.
An edge-deployable deep learning application that predicts Age Group, Gender, and Facial Expression in real time using a mobile device. Built using PyTorch, EfficientNetV2, and deployed via Android Studio for fast and private offline inference.
# Using technology of computer vision to classify clouds.
EfficientNetB0 model for plant disease image classification (Kaggle dataset)
Real-time emotion-aware music recommendation system using EfficientNet-B3 and FastAPI
A deep learning project implementing GoogleNet, EfficientNet, and (ViT) for multi-class image classification achieving 97.4% accuracy on 2,484 test images and 🏆 ranking 1st on the Ain Shams AI Kaggle leaderboard.
An application that detects and classifies defects in solar panels using deep learning. This project leverages a trained EfficientNet-based model to analyze uploaded images and identify common issues affecting solar panel performance.
CNN Image Classification Model which identifies the food in your image
Transfer-learning image classification of plant leaf diseases (ResNet50 vs EfficientNetB0, 95.4% test accuracy) with Grad-CAM explainability and error analysis
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