Abhishek Jaisal@iabhijais

HawkSentinel AI is an autonomous, real-time account security system designed to protect large-scale trading platforms like Deriv from account takeovers and unauthorized access. Modern attacks often bypass static security rules by mimicking normal user behavior. HawkSentinel addresses this gap by continuously analyzing live login events using device consistency, geo-velocity, and behavioral patterns. Each session is risk-scored in milliseconds, allowing the system to identify anomalies such as impossible travel or previously unseen high-risk device configurations. What differentiates HawkSentinel is its AI Forensic Agent, which does not simply raise alerts. Instead, it explains why a session is risky in plain language and recommends immediate actions. For high-risk events, HawkSentinel can autonomously freeze accounts and trigger two-factor authentication resets without waiting for manual review. The system is built using Python, FastAPI, Streamlit, and large language models, and runs entirely on synthetic data for safe demonstration. HawkSentinel demonstrates how explainable AI can enable faster, safer, and more trustworthy security decisions at scale.

The Problem Enterprises hire thousands of employees annually, generating a massive volume of employment contracts. Reviewing these manually is slow (averaging 30 minutes per contract), prone to human error/fatigue, and costly. A single overlooked non-compliant clause—such as a "7-day notice period" where the law mandates "30 days"—can expose the company to significant legal risks and penalties. The Solution: Compliance Hawk Compliance Hawk is not just a document reader; it is an autonomous AI Agent designed to act as a Level-1 Legal Auditor. Unlike standard LLM wrappers, it combines the reasoning power of Generative AI with deterministic rule enforcement to provide 100% reliable audits. How It Works (Technical Architecture) We leveraged the IBM watsonx Orchestrate platform to build a seamless agentic workflow: Orchestration: IBM watsonx Orchestrate manages the conversation flow and skill routing. Intelligence: We utilized the Llama 3.2 model for its superior ability to extract specific clauses and reason against legal context. Custom Skills: A Python FastAPI backend (exposed via ngrok) handles the "Audit Contract" skill. Logic: The agent extracts key parameters (Salary, Notice Period, Role) and validates them against hard-coded Indian Labor Law standards. Key Features Risk Scoring: Assigns a binary Risk Score (0 for Safe, 100 for Critical) to eliminate ambiguity. Edge Case Handling: Smart enough to detect missing clauses (e.g., if a notice period isn't mentioned at all) and flag them as non-compliant. Instant Reasoning: Provides a clear legal explanation for every flag. Impact Compliance Hawk reduces the contract review lifecycle from 30 minutes to just 6 seconds per document, ensuring uncompromising compliance with zero manual oversight.

Project Hawkkeyed is an AI automation platform built entirely on Gemini 2.0, designed to replace repetitive analytical tasks with intelligent workflows. The system converts four types of inputs — documents, URLs, structured data, and chat instructions — into actionable outputs such as summaries, insights, charts, emails, and downloadable reports. Each workflow is engineered to be clean, fast, and production-ready, offering precise intelligence with clear UI/UX. The project focuses on real-time reasoning, automated reporting, and multi-step data processing, making complex tasks accessible to anyone. Hawkkeyed demonstrates how AI can be used to automate everyday professional workflows with speed, accuracy, and full-stack execution.

Grab your ideas, spin up compute, and start building what’s next! Start with $100 in AMD Developer Cloud credits and begin building right away. Get access to hands-on tutorials, workshops, and curated learning resources to help you build faster and go further. To unlock credits and join the hackathon, sign up for the AMD AI Developer Program. 🤝 Go solo or team up — ship something real. 💰 $21,500+ total prize pool & 1 × AMD Radeon™ AI PRO R9700 GPU up for grabs. 📍 On-site Venue (May 9-10): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📍On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

⏱️ You’ve got almost a month to design, build, and showcase real-time Voice AI Agents in a fast-paced global hackathon. 📅 April 7 – May 5, 2026 🌟 Powered by Google’s AI stack (Gemini, AI Studio, Live API) 🎙️ Create low-latency, conversational voice experiences 🤝 Join solo or with a team 💰 $100,000 prize pool 🧑‍💻 Start building with Google’s latest AI tools.

Teams work together with multiple AI agents in shared workspaces to design, build, and launch complete AI products — from initial idea to market-ready app. 📅 February 23– March 1, 2026 ⏱️ 6 days to build and ship an end-to-end agentic AI product 🤝 Work together in shared AI workspaces where your team and AI agents collaborate in real time 🔧 Build with multiple AI agents that handle development, design, testing, and documentation together 🎯 Create everything in one place — from ideation to product to marketing materials, all by prompting and observing 🚀 Focus on real-world products that teams could actually ship and use 🏆 $3,500 in prizes + premium 3-month Complete.dev access for top teams 🧑‍💻 Join your team workspace and start building together