TruthTrace: Suspicious Evidence Detection System

TruthTrace is a digital forensic web application designed to verify the integrity of images and documents. It helps detect if a file has been tampered with or edited by analyzing its metadata and digital fingerprint.

Key Features

• File Integrity Check: Generates a unique SHA-512 hash for every uploaded file.
• Metadata Analysis: Scans for hidden EXIF data and editing software traces.
• Tamper Detection: Flags files with missing metadata or inconsistent timestamps.
• Secure Architecture: Built with security best practices (CSRF protection, Input validation).

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Team Roles & Responsibilities

Member 1: Project Lead & Security Architect

• Set up the Flask framework and core project structure.
• Implemented SHA-512 Hashing for digital integrity verification.
• Developed the Main Backend Engine and Routing.
• Designed the Modern Dark UI for Upload and Report pages.

Member 2 (Aiza Khurram): Forensic Logic Analyst

• Developing the Metadata Extraction module using Pillow.
• Implementing the Suspicion Scoring logic.
• Identifying software traces (Photoshop, Canva, etc.).

Member 3: UI/UX & Auth Lead

• Developing the User Authentication system (Login/Register).
• Managing the SQLite Database for user records.
• Refining the Result Dashboard for detailed analysis reports.

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Tech Stack

• Backend: Python (Flask)
• Frontend: HTML5, CSS3 (Modern Dark Theme)
• Database: SQLite
• Libraries: Pillow, Hashlib, Flask-WTF

How to Setup and Run

To get this project running on your local machine, follow these steps in your terminal:

1. Clone the repository

git clone [https://github.com/zeynabsheikh/TruthTrace.git](https://github.com/zeynabsheikh/TruthTrace.git)
cd TruthTrace

2. Install Dependencies

• You need to install the following Python libraries:

pip install flask flask-wtf Pillow

3.Run the Application

• Run the Application

  python App.py

To open TruthTrace Directly

• 🔗Link: https://tinyurl.com/TruthTrace