Akash JS@akash9164735889

TALOS is an autonomous multi-agent AI system that defends manufacturing supply chains from real-time vendor disruptions — without human intervention until the moment it matters. The system runs a continuous Scout Agent that monitors live vendor data streams every 1.5 seconds, checking for HTTP failures, corrupted payloads, and zero-quantity anomalies. When 3 consecutive failures are detected, it escalates and triggers a full remediation pipeline powered by Google Gemini 1.5 Flash on Vertex AI. The pipeline runs four specialized agents in sequence: → Scout detects the anomaly and triggers escalation → Analyst queries the live inventory database and calculates hours until factory stockout and projected daily financial loss (e.g. $694K/day) → Broker evaluates all backup vendors by reliability, cost, and lead time — then drafts a Purchase Order → Forge generates the infrastructure patch — the exact API endpoint to switch the vendor stream The system then pauses at a Human-in-the-Loop gate. The operator reviews the full agent output and clicks AUTHORIZE MITIGATION. The new vendor URL is written atomically to a Cloud SQL circuit breaker config. The stream switches on the next 1.5-second poll cycle. Crisis resolved in under 60 seconds. Built on Google Cloud Run, Cloud SQL (PostgreSQL), FastAPI, and Vertex AI. Features a terminal-aesthetic command center dashboard with live agent feed, audit log, financial exposure HUD, and an AI Oracle chatbot. TALOS directly addresses the Collaborative Systems and Agentic Workflows categories — four specialized agents coordinate autonomously to solve a problem no single LLM could handle alone.

CancerLens AI is an oncological triage platform built for the IBM Bob Hackathon 2026. IBM Bob was our core development partner for the entire project. Every component was generated, debugged, and refined through Bob — from the Flask backend architecture to the AMD MI300X GPU integration and Google Cloud Run deployment. What Bob built for us: → Complete Flask backend with 3 REST endpoints → 3-agent AI pipeline from scratch → All oncological analyst prompts → AMD MI300X vLLM endpoint integration → Google Cloud Vertex AI authentication → Frontend to backend API connection → Google Cloud Run deployment configuration → AMD toggle system for switching between GPU and fallback mode instantly The 3-Agent Pipeline: Agent 1 — Extractor: Qwen2-VL running on AMD MI300X with 192GB HBM3 analyzes the medical scan and extracts detailed visual observations at full precision with zero quantization. Agent 2 — Analyst: Gemini 2.0 Flash processes imaging findings alongside patient context and blood report values to generate a structured clinical report including cancer type, TNM staging, Early vs Late Stage classification, and risk scoring. Agent 3 — Validator: An independent AI pass cross-checks the entire report for logical consistency and assigns a reliability score before results reach the user. Additional features include stage-specific survival statistics pulled dynamically for any cancer type, a nearest oncologist finder via Google Maps, direct links to specialist hospitals, and a context-aware AI health assistant chatbot. Tested on real clinical teaching cases — correctly identified Stage III Osteosarcoma from a knee X-ray, cross-referenced elevated ALP and LDH from a blood report, and detected Glioblastoma from a brain MRI with 9-10 out of 10 reliability scores. CancerLens AI makes radiologist-level cancer detection accessible to anyone, anywhere — in seconds, not weeks. Built by Team Noxis.

Code Mentor is a cloud-native DevSecOps environment that acts as an automated security architect sitting inside your IDE. As AI code assistants like Copilot ship code faster than ever, they're also shipping vulnerabilities at record speed — and traditional SAST/DAST tools are too slow and too noisy for developers to act on. Code Mentor solves this with four core capabilities: 🔍 Real-Time AI Scanning — Powered by Gemini 2.5 Pro on Google Vertex AI, the scanner performs context-aware semantic analysis on your code, flagging structural vulnerabilities like SQL injection, hardcoded secrets, and insecure patterns the moment you open a file. 🧠 Triple-Tier Explainability — Every vulnerability is explained three ways: an Analogy for quick intuition, a Technical deep-dive for senior engineers, and a Meme for culture-driven retention. This is the first security tool designed for how developers actually think. ⚡ 1-Click Live Fix — Unlike legacy scanners that stop at alerts, Code Mentor finishes the job. It rewrites your vulnerable code with a single click using the suggestedPatch from the AI response, then logs the fix to an audit trail for compliance reporting. 🏛️ Enterprise Policy Governance — A built-in Policy Studio enforces HIPAA, GDPR, and SOC2 compliance standards, giving enterprise teams real visibility into what policies are being violated across their codebase. The architecture runs on Next.js 14 with a Monaco Editor frontend, backed by serverless Next.js API routes deployed on Google Cloud Run via a multi-stage Alpine Linux Docker build — cutting cold starts by ~80%. The backend communicates with Vertex AI over IAM-governed service accounts, with zero user code cached or persisted, making it stateless and breach-resistant by design. A Vulnerability Sandbox ships with three pre-loaded production-flawed blueprints (auth-service.ts, query-engine.ts, env-config.yaml) so judges can experience the full scan-explain-fix pipeline instantly, with zero setup.

CancerLens AI is an advanced oncological triage platform built for the AMD Developer Hackathon 2026. The platform uses a 3-agent AI pipeline running on AMD MI300X GPUs with 192GB of HBM3 memory to detect, classify, and stage cancer from medical imaging scans. Agent 1 — Extractor: Qwen2-VL running at full precision on AMD MI300X analyzes the uploaded scan and extracts detailed visual observations. Agent 2 — Analyst: Gemini 2.0 Flash cross-references imaging findings with patient context and blood report values to generate a structured clinical report including cancer type, TNM staging, and risk scoring. Agent 3 — Validator: An independent AI pass audits the report for logical consistency and assigns a reliability score before the result reaches the user. The platform was tested on real clinical teaching cases — correctly identifying Stage III Osteosarcoma from a knee X-ray, cross-referencing elevated ALP and LDH from a blood report, and detecting Glioblastoma from a brain MRI with 9-10 out of 10 reliability scores. Features include stage-specific survival statistics pulled dynamically for any cancer type, a nearest oncologist finder via Google Maps, direct links to cancer specialist hospitals, and a context-aware AI health assistant chatbot. CancerLens AI makes radiologist-level cancer detection accessible to anyone, anywhere — in seconds, not weeks. Built by Team Noxis.

AI Genesis is a global hybrid hackathon that brings AI builders together from around the world — starting online and culminating live at /function1 AI Conference & Exhibition 2026 in Dubai. 📅Oct 26 – Nov 3, 2026 • Oct 26 – Nov 2: Online build & collaboration All projects must be submitted by end of day on November 2. • Nov 2 (Online + Dubai): An exclusive on-site build day in Dubai for selected participants. • Nov 3 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: If approved for the on-site experience, you’ll also have the opportunity to showcase your project live. Travel and accommodation will not be covered. 🧑🏻‍💻 Secure your spot now, sign up before the Kick-Off Stream!

🌍 Hybrid Hackathon | 💻 Online Build: May 25–30,2026 | 📍 SF Onsite Finale: May 30–31,2026 We’ve unlocked the web for your AI. Now build what wasn’t possible before. Build AI agents with live web data, then join the SF onsite finale at Bright Data’s new Web Data Loft. 🚀 The onsite experience will take place during the opening of Bright Data’s new SF space, The Web Data Loft. 📍 On-site Venue (May 30–31): The Web Data Loft 625 2nd St, San Francisco, CA 🏆 $18,300 cash prize + Bright Data AI Startup Program opportunities 🍕 Free food, drinks, networking, workshops, mentorship, and live demos 🎁 Onsite attendees are automatically entered into a live giveaway for 4 × $100 Amazon gift cards. 🧑‍💻 Apply now to build AI agents powered by real-time web access.

Build solutions that improve how software is built. Work with an AI that understands your codebase, helping you reduce repetitive work and build with real context. ⏳ Build your project in 48 hours. 🚀 Get hands-on with IBM Bob and explore how AI fits into real development workflows before it becomes standard. 💡 Build tools and workflows that developers would actually use. ⭐ Learn directly from experts throughout the event. 🤝 Join a team or build solo. 💰 Prize pool: $10,000 🧑🏻‍💻 Register before the Kick-Off Stream and start building with Bob.

⏱️ Build the next generation of Autonomous Agents in the heart of Europe’s AI Revolution. 📅 May 13 – 20, 2026 May 13 – 19: Online Build Phase. May 19: An exclusive on-site build day at Milan AI Week for selected participants. May 20: Awards Ceremony. 📍On-site Venue (May 19–20): Fiera Milano (Rho), Milan, Italy 🤝 Join solo or with a team. 🎟 FREE Milan AI Week conference ticket included for participants. 💰 $32,000+ prize pool 🧑‍💻 Apply now to turn your autonomous agent into a market-ready enterprise solution.