THREAT CAST

Architected an AI-driven security platform to streamline workflows for red teamers and security engineers. Features 'Deep Research Mode' for automated threat modeling and CVE-to-exploit chain mapping with real-time threat intelligence.

Client

UNIVERSITY FINAL YEAR PROJECT

Year

2025

Category

BUG BOUNTY

Live Project

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Concept

Concept

/// AN RED TEAM - BLUE TEAM CHATBOT FINE-TUNED AND TRAINED OVER GROQ 0-LLAMA3

Development

Development

/// threat Cast is an AI-driven assistant crafted specifically for the modern cybersecurity landscape. Tailored for DevSecOps, bug bounty hunters, and Infosec researchers , it offers advanced contextual understanding and deep analytical capabilities. This project was created as a **Final Year Capstone Project** by:

  • HITARTH SHAH – VIBE developer, bug bounty researcher, and creator of Deep Research feature

  • M$ CYCL0NE – DevSecOps integration and testing lead

  • C7PH3R R4V3N – UI/UX, architecture design, and backend logic.

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Problem

Problem

/// Development optimizes the A.i performance by optimizing code, reducing file sizes, and improving loading times. A fast-loading website enhances user experience, optimizing ai , leaning about streamlit compatibility , choosing right model to train error while optimizing , handling database , maintaining and upgrading accuracy

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Solution

Solution

/// [ STIL UNDER DEVELOPMENT]

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HITARTH SHAH

HITARTH SHAH

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