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.
π 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:
π§ AI-based image analysis
π Confidence and evidence assessment
π Detection insights
π¬ Human-readable explanations
β οΈ A probabilistic investigation result
π€ How We Use Gemma 4
Gemma 4 is an important part of our pipeline.
Image
β
AI Image Detection
β
Detection Evidence
β
Gemma 4
β
Evidence Reasoning
β
Investigation Result
β
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.
π οΈ 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
π‘ 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.
π₯ Team Ghost Protocol
Sutharsan R β Frontend Development & UI/UX Design
Jai Nivas V β AI Detection Model Development & Evaluation
Mithun Karthik Dhaneshkumar β Problem Research, Dataset Preparation & Solution Design
Rohith N M β Gemma 4 Integration & AI Reasoning
π What We Built
Our workflow is simple:
Upload β Analyze β Generate Evidence β Gemma Reasoning β Explainable Result
We focused on building a working end-to-end prototype that combines AI image detection with an AI reasoning layer.
π Project
GitHub:
https://github.com/Sutharsan11308-git/hacktoberfest-hack-day-coimbatore-x-init-club-and-idea-club




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