efficientnet

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

AI-powered deepfake detector that classifies uploaded face images and videos as Real or Fake with confidence scores. Full-stack app built with PyTorch (EfficientNet-B0), FastAPI, and Next.js — trained on 100k+ images and deployed with Vercel + Render.

🏥 AI-powered multi-disease early detection platform | Brain Tumor · Diabetic Retinopathy · Skin Cancer | PyTorch · FastAPI · React · Grad-CAM | B.Tech Major Project

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.

🍔 your every day nutritional analysis system

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.

AI-powered media authenticity platform that detects AI-generated and manipulated images using React, FastAPI, PyTorch, and EfficientNet.

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.

AI-powered malaria detection from blood smear images — 95.8% accuracy using EfficientNetB0 + TensorFlow

AI skin-lesion triage web app — calibrated EfficientNet-B0 vision model + DermBot, a RAG-grounded Gemini clinical assistant. FastAPI · React · deployed at zero cost.

Full-stack deepfake video detection system — EfficientNetV2-B3 + Temporal Attention BiLSTM | 99.54% AUC on Celeb-DF | React frontend + FastAPI backend

Fallacy Finder a deepfake detection page

AI crop disease detector using EfficientNet-B0, FastAPI, React, and PlantVillage classes

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

Analyze medical images to detect tumors and diseases using PyTorch, EfficientNet, and FastAPI.