NovaTraceX is a powerful Digital Forensic tool designed to assist investigators in visualizing and analyzing digital evidence using Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). It streamlines investigation workflows by transforming unstructured digital evidence into structured, visual insights—enhancing clarity, speed, and decision-making in cybercrime analysis.

NovaTraceX helps forensic analysts by:

• 📅 Generating interactive timelines from logs and case data
• 🧠 Creating dynamic mindmaps to link events, entities, and artifacts
• 📄 Processing unstructured digital evidence (emails, logs, chats, etc.)
• 🤖 Leveraging LLMs + RAG to understand and organize data intelligently

• LLM-Powered Parsing: Extract meaningful insights from raw logs and text
• Timeline Generator: Visual representation of digital event sequences
• Mindmap Builder: Graph-based view of links between suspects, devices, files, and actions
• Retrieval-Augmented Generation: Use of custom data sources to improve forensic accuracy
• User Interface: Simple and intuitive dashboard for case management

• Project Type: B.Tech Final Year Major Project
• College: Pillai College of Engineering, New Panvel
• Department: Computer Engineering
• Year: 2025-26
• Mentor: Prof. Dr. K.S. Charumathi PCE

This is not an open-source project.

All code, models, and research under NovaTraceX are the intellectual property of the project team and are copyrighted.
Unauthorized use, distribution, or reproduction of any part of this project is strictly prohibited.

© 2025 Team NovaTraceX. All rights reserved.