ArtifactX

Inspiration

As cyberattacks and digital crimes continue to increase, investigators often spend hours manually collecting, organizing, and analyzing digital evidence from multiple sources. We wanted to simplify this process by building an AI-powered platform that automates investigation workflows, helping cybersecurity teams analyze incidents faster and make informed decisions.

What it does

ForensiQ is an AI-powered incident investigation platform that enables security analysts to create investigation cases, upload digital evidence, and manage the entire forensic investigation in one place. The platform supports evidence such as logs, PDFs, images, CSVs, and ZIP files. It organizes evidence, builds an investigation timeline, assesses risk levels, identifies suspicious findings, and generates AI-assisted summaries and recommendations for efficient incident response.

How we built it

We built the frontend using HTML, CSS, and Vanilla JavaScript, following a modern enterprise dashboard design inspired by professional SOC platforms. The project is designed to integrate Google Gemini AI for intelligent evidence analysis. Our modular architecture includes dedicated pages for case management, evidence uploads, timeline visualization, AI analysis, and investigation reporting, making it scalable for future enhancements.

Challenges we ran into

~ Designing a professional interface similar to real cybersecurity investigation platforms. ~ Organizing multiple evidence formats into a clear investigation workflow. ~ Ensuring consistency while multiple team members developed different modules simultaneously. ~ Planning AI integration without compromising the modular frontend architecture.

Accomplishments that we're proud of

~ Developed a clean and modern enterprise-style investigation platform. ~ Created a complete investigation workflow from case creation to report generation. ~ Designed a scalable UI ready for AI-powered forensic analysis. ~ Successfully collaborated using Git and GitHub to integrate different modules into one cohesive application.

What we learned

This project strengthened our understanding of digital forensics, cybersecurity incident response, AI-assisted investigation, frontend development, Git collaboration, and enterprise UI/UX design. We also learned the importance of teamwork, modular development, and designing applications with future scalability in mind.

What's next for ForensiQ

Our next goal is to integrate Google Gemini AI for real-time evidence analysis, implement backend services for metadata extraction and file processing, support real forensic artifacts, generate downloadable investigation reports, and add collaborative case management with real-time threat intelligence to make ForensiQ a complete digital investigation platform.