Team Ghost Protocol | MLH Hack Day 2026
AI-generated and manipulated images are becoming increasingly difficult to identify. A simple visual inspection is often not enough to determine whether an image has been altered.
For MLH Hack Day 2026, we built TruthLens AI, an AI-powered image analysis platform that analyzes uploaded images for potential AI generation or manipulation and provides an explainable result.
🔍 What is TruthLens AI?
TruthLens combines AI-based image detection and Gemma 4 reasoning to investigate suspicious images.
Instead of simply showing "Fake" or "Real", TruthLens provides:
🧠 AI-based image analysis
📊 Confidence and evidence assessment
🔎 Detection insights
💬 Human-readable explanations
⚠️ A probabilistic investigation result
🤖 How We Use Gemma 4
Gemma 4 is an important part of our pipeline.
Image
↓
AI Image Detection
↓
Detection Evidence
↓
Gemma 4
↓
Evidence Reasoning
↓
Investigation Result
↓
Confidence + Explanation
Our key idea is:
The detection model provides evidence. Gemma 4 provides reasoning.
The detection model analyzes the image and produces relevant signals. Gemma 4 interprets those signals and turns them into a clear explanation that users can understand.
This makes TruthLens more than just a prediction system.
🛠️ Technology Stack
Frontend
React
Vite
Tailwind CSS
Backend
Python
FastAPI
Uvicorn
AI/ML
PyTorch
Hugging Face Transformers
CommunityForensics-DeepfakeDet-ViT
Gemma 4
Image Processing
Pillow
OpenCV
NumPy
SciPy
Local AI
Ollama
💡 Why We Built It
AI-generated and manipulated images are becoming more common, while identifying them manually is becoming harder.
We wanted to create a tool that doesn't just give users a prediction, but also helps them understand the reasoning behind the result.
TruthLens is designed as an investigation assistant, not an absolute truth detector.
Note: TruthLens provides probabilistic analysis. Its results should not be treated as definitive proof that an image is authentic, manipulated, or AI-generated.
👥 Team Ghost Protocol
Sutharsan R — Frontend Development & UI/UX Design
Jai Nivas V — AI Detection Model Development & Evaluation
Mithun Karthik Dhaneshkumar — Problem Research, Dataset Preparation & Solution Design
Rohith N M — Gemma 4 Integration & AI Reasoning
🚀 What We Built
Our workflow is simple:
Upload → Analyze → Generate Evidence → Gemma Reasoning → Explainable Result
We focused on building a working end-to-end prototype that combines AI image detection with an AI reasoning layer.
🔗 Project
GitHub:
https://github.com/Sutharsan11308-git/hacktoberfest-hack-day-coimbatore-x-init-club-and-idea-club
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