The internet can be a wild place, and AI isn’t making it any easier. Deepfake images? Misinformation? AI-generated explicit content? It’s everywhere. But fear not! TurkEye is here to filter out the digital junk before it messes with your brain (or worse, a minor’s brain).
Most people associate Harvard's mascot with John Harvard, but did you know that Harvard’s official mascot is actually a turkey? 🦃 That’s right! The Harvard Turkey has been an unofficial symbol for years, and we thought, what better way to represent our AI watchdog than a sharp-dressed, deepfake-fighting turkey?
Because AI-generated deepfakes and explicit content are way too easy to access, and that’s a problem.
🔴 Minors are exposed to harmful AI-generated content – And let’s be real, no kid should accidentally stumble upon deepfake horrors.
🔴 Cybercriminals are using AI to deceive people – Imagine a fake AI-generated cartoon leading kids down a phishing rabbit hole. Yikes.
🔴 No automated blocking systems – Current filters are like a sieve. We need an iron wall.
👶 Minors & young users – They don’t even know what’s real anymore.
👨👩👦 Parents & guardians – Because explaining deepfakes over dinner is awkward.
🧓 Non-tech-savvy users – They trust everything they see. That’s a problem.
✅ Block AI-generated deepfake images – If it’s fake, it’s gone.
✅ Blur AI-generated explicit content – Some things are better left unseen.
✅ Flag harmful AI-generated media before it reaches users – Catch it before it spreads.
✅ Detect fake news and misinformation – Because AI-generated nonsense doesn’t belong in your news feed.
🚫 Preventing AI developers from making harmful content (we’re not the AI police… yet).
🚫 Moderating live streams (unless you like buffering nightmares).
📌 Our product is a Chrome extension that filters AI-generated junk in real time.
🦃 Our mascot, the Harvard Crimson Turkey, has three states:
🖼 Google Cloud Vision API:
- Detects labels, text, SafeSearch warnings, and more.
- Flags content with sketchy facial manipulations or weirdly blurry faces.
- Scans for shady words like "fake," "edit," and "Photoshop."
🛑 DeepFake Detection Models (Hugging Face)
- Uses fancy AI architectures (Vision Transformers) trained on real vs. fake images.
- Cross-validates predictions with multiple models.
🤖 Decision-Making Pipeline:
- Combines Google Cloud Vision + DeepFake Detection Models.
- Uses Google Gemini AI to generate final verdicts.
- If Gemini chokes, we switch to majority voting.
- Only blocks images if both models are 70%+ confident.
🔞 Nudes Detection:
- Runs detection using RetinaNet.
🎬 AI-Generated Video Filtering:
- Uses Google Cloud’s "describe video content" feature to scan for AI-generated explicit material.
📢 Fake News Filtering:
- Extracts key facts using Google Fact Check Tools API.
- Summarizes findings with Google Gemini AI.
- Alerts users when an article smells fishy.
✅ For Minors – No more accidental nightmares from deepfake horror shows.
✅ For Parents – A transparent dashboard showing what’s been blocked.
✅ For Platforms – Automated AI-based moderation = fewer problems.
✅ For Law Enforcement – Helps identify AI-generated non-consensual content.
🔹 Making sure we block harmful AI content without censoring real stuff.
🔹 Keeping up with ever-evolving deepfake techniques.
🔹 Stopping AI content creators from finding loopholes.
🚀 Real-time moderation for live streams – No more deepfake chaos mid-video.
📱 Mobile integration – Bringing AI protection to your phone.
🤝 Partnerships with social media platforms – Because they need help, too.
AI-generated junk doesn’t stand a chance. With TurkEye watching over your screen, you can browse with confidence, knowing that fake news, deepfakes, and explicit AI-generated content are getting flagged before they reach your eyes.
Because, honestly, the internet is crazy enough already.
🦃 Team TurkEye - Protecting the Web, One Deepfake at a Time
Clone the repository:
git clone https://github.com/yannaner/Live-AI-2025.git
cd Live-AI-2025
Set up Python environment and install dependecies:
python -m venv venv
venv\Scripts\activate
pip install -r requirements.txt
Configure Google Cloud API credentials in
.env
Run the backend server
cd backend
python app.py
Go to chrome. Go to manage extensions. Activate Developer mode. Load upacked frontend foldeer into chrome. Restart the browser
