deepfake-detection

AI DeepFake detection browser extension

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.

An Image Analyzer that can analyze and give Real or Fake predictions with confidence scores

🚀 Welcome to the Deepfake Detection System project! This project detects deepfake videos using advanced machine learning techniques, leveraging pre-trained CNNs for feature extraction and LSTM networks for temporal modeling. The frontend is built with React, and Firebase is used for database management and user authentication.

Multi-Model Deepfake Detection & Speaker Verification Platform. Wav2Vec2 audio forensics, NVIDIA NIM (Llama 3.2-90B Vision) image detection, ECAPA-TDNN voice biometrics. Turborepo microservices: React + FastAPI + Hono + Cloudflare Workers.

AI Slop Detector is a privacy-first browser extension that locally detects AI-generated images (and video frames) on webpages using an ensemble of two Hugging Face models—no uploads, no cloud, full control. Requires running a simple Python backend on localhost for high-accuracy, offline inference.

c14 is an OP_RETURN protocol on top of bsv core protocol for creating immutable reference points of multimedia files.

Real-time deepfake detection system — image, video & live webcam analysis using MobileNetV2

🤖 Enterprise multi-agent orchestration platform for autonomous content verification. Built with agentic AI workflows, MCP integration, AgentDB, and advanced deepfake detection. Features agent memory, learning, and collaboration.

AI-powered deepfake & synthetic image detection system — Node.js backend with EXIF forensics, visual artifact analysis, and weighted score aggregation.

Deepfake detection algorithms

The server codebase for our deep fake extension.

Deepfake Image Detection App — An AI-powered tool that detects manipulated images using GANs, CNNs, and the FaceForensics++ dataset. Achieves 92% accuracy with ~1.5s inference time per image, enabling near real-time detection. Built with a scalable full-stack pipeline for data preprocessing, training, inference, and visualization,.

This DeepFake Detection DApp enables users to upload evidence pertaining to specific incidents and conducts a variety of checks, including metadata comparison, deepfake detection, and fake news identification.

A web app that detects deepfake voices using an LLM forensic analyzer.

DeepDetect - AI-Powered Deepfake Detection A web app that detects deepfake images using AI. It includes a React.js frontend, Node.js backend, and FastAPI model API. Users can upload images, get detection results, purchase API keys via Razorpay, and track usage on a dashboard. 🚀

Browser extension + AI backend to detect tampered or fake images

DeepFake FrontEnd with React Native Expo

Multi-modal deepfake detection system (image, video, audio) using fine-tuned EfficientNet-B4. React + Vite frontend, FastAPI + PyTorch backend, Firebase auth. Pinnacle 6 capstone at Atlas SkillTech University.

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