🔍 Face Mask & DeepFake Detection using Deep Learning | Streamlit, OpenCV, Keras 🔥

🔍 Face Mask & DeepFake Detection using Deep Learning | Streamlit, OpenCV, Keras 🔥

🚀 Welcome to this exciting AI-powered project where we integrate Face Mask Detection and DeepFake Detection into a single, powerful application! This project uses Deep Learning models (Keras, InceptionV3), OpenCV, and Streamlit to provide real-time analysis on images and videos. 🖼️🎥

🔹 Features of This Project:
✅ Face Mask Detection 🏥😷 – Identify whether a person is wearing a mask, wearing it incorrectly, or not wearing one at all!
✅ DeepFake Detection 🎭🚫 – Detect whether a video is manipulated or real using AI-driven deepfake analysis.
✅ User Authentication System 🔐 – Secure login ensures only authorized users can access detection features.
✅ Streamlit Web App Interface 🌐 – A clean and intuitive UI for seamless user experience.

🛠️ Technologies Used:
🔹 Python 🐍
🔹 OpenCV 📷
🔹 Keras / TensorFlow 🤖
🔹 Streamlit 🌐
🔹 InceptionV3 (Feature Extraction) 🏗️

📌 How It Works?
1️⃣ Face Mask Detection: Upload an image, and the model classifies it into three categories: MASK, NO MASK, or MASK INCORRECT.
2️⃣ DeepFake Detection: Upload a video, and the model predicts whether it's REAL or FAKE using AI-powered deep learning.
3️⃣ User Authentication: Only authorized users can access the application, ensuring secure usage.


🚀 Future Enhancements
🔹 Improve model accuracy with a larger dataset 📊
🔹 Implement real-time video processing 🎥
🔹 Deploy on cloud platforms ☁️
📌 Like, Share, and Subscribe if you found this helpful! ❤️
💬 Drop your thoughts in the comments – Let’s connect!

📌 Contact for More Information:
📧 Email: astraai45@gmail.com
📞 Phone [Preferably]: 6301756758, 8639471987

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