Muhammad Asim Hanif@masimhanif

VANTA is an autonomous GTM intelligence agent built for revenue teams that need real-time competitor and buyer intelligence. Instead of manually searching Reddit, G2, Trustpilot, Glassdoor, HackerNews, and search results for customer complaints, VANTA uses Bright Data tools to collect live public web signals at scale. The agent identifies dissatisfaction signals such as pricing frustration, support issues, feature gaps, migration intent, and competitor alternatives. After collecting data, VANTA uses Claude Opus through AIML API to analyze each signal, extract pain points, score buyer intent, and generate personalized GTM battle cards. These battle cards include account summaries, talking points, objection handling, and outbound email drafts that sales teams can use immediately. The platform includes a FastAPI backend, PostgreSQL/Supabase persistence, real-time SSE streaming, and a React/Vite dashboard. The dashboard shows live agent activity, intent signal cards, competitor vulnerability radar charts, ROI calculations, and CRM actions. Users can enrich leads, find decision makers, and push qualified opportunities into HubSpot. VANTA solves a real enterprise problem: GTM teams often miss buying signals because they are scattered across the open web. By combining Bright Data’s live web infrastructure with AI reasoning and CRM automation, VANTA turns unstructured web data into actionable revenue intelligence.

CartMate is an AI-powered conversational commerce assistant designed to make online shopping easier, faster, and more accessible. Many users struggle with traditional text-based search because they may not know the right keywords, product category, brand name, or technical terms. CartMate solves this problem by allowing users to simply speak what they want in natural language. The system understands the user’s intent, asks smart follow-up questions, and recommends suitable products from the catalogue. CartMate also includes visual product matching. Users can show a physical item or upload an image, and the AI analyzes its category, color, material, style, and visible branding. Based on this analysis, CartMate finds visually similar products and displays ranked recommendations. This is especially useful for elderly users, low-literacy users, non-technical shoppers, and customers who can recognize a product visually but cannot describe it accurately. The project uses real-time speech-to-text, conversational AI reasoning, text-to-speech output, and AI vision to create a smooth shopping experience. For businesses, CartMate improves product discovery, reduces search frustration, increases customer engagement, and can help improve conversion rates. It can be integrated as an intelligent shopping layer for e-commerce platforms, marketplaces, and online stores.

SiteWatch AI is an AI-powered construction intelligence platform built to solve one of the construction industry’s biggest challenges: lack of real-time visibility into safety risks, project delays, and cost overruns. Most construction companies still rely on manual inspections, spreadsheets, and delayed reporting processes. These outdated methods often lead to workplace accidents, missed deadlines, financial losses, and slow decision-making. SiteWatch AI modernizes construction monitoring using multimodal Gemini AI agents that analyze visual and operational data in real time. The platform allows users to upload construction site photos, project schedules, XLSX/CSV files, and daily reports. After upload, three specialized AI agents collaborate to generate actionable insights for project managers and stakeholders. The Vision Agent uses Gemini Vision AI to analyze site images and detect PPE violations, unsafe scaffolding, electrical hazards, open trenches, and other safety risks. It also estimates project progress and generates a safety score. The Risk Agent processes schedules and operational data to predict delay probability, identify major risk factors, estimate days behind schedule, and forecast potential cost overruns before they become critical. The Report Agent combines outputs from all AI agents and automatically generates executive audit reports containing summaries, safety findings, risk analytics, delay forecasts, and recommendations in downloadable PDF format. The platform features a modern dashboard with live analytics, charts, uploads, and AI-generated insights. SiteWatch AI is built using Gemini API, Gemini Vision API, Next.js, React, TypeScript, Tailwind CSS, and Recharts. Our solution helps construction companies improve worker safety, reduce delays, automate reporting, and make faster data-driven decisions using AI-powered enterprise intelligence.

DrRetina is an end-to-end AI diagnostic system for Diabetic Retinopathy (DR) detection, built for ophthalmologists and medical professionals. DR affects over 537 million diabetics worldwide and is the leading cause of preventable blindness, yet most clinics in South Asia and Africa lack access to specialist screening tools. Our system solves this through three integrated layers: VISION ENGINE: A fine-tuned ViT-MAE (facebook/vit-mae-base) model trained on the APTOS 2019 dataset using AMD Instinct MI300X GPUs via ROCm. The model achieves Cohen's Kappa of 0.9097 — surpassing the WHO DR screening benchmark of 0.80 and our own target of 0.85. GradCAM heatmaps highlight the exact retinal lesions driving each diagnosis, building clinical trust. AGENTIC LAYER: A LangChain ReAct agent powered by Qwen3-8B with 5 specialized clinical tools. The agent generates structured diagnostic reports and answers follow-up clinical questions with full diagnosis context. Reports are automatically generated in 6 languages — English, Urdu, Arabic, Hindi, Spanish, and French — with RTL text support for Urdu and Arabic via WeasyPrint and Google Noto Fonts. AMD INFRASTRUCTURE: The entire fine-tuning pipeline runs on AMD Instinct MI300X via ROCm 7.2 and PyTorch. Training completes in approximately 5.3 minutes per 50 epochs. The system is deployed as a Hugging Face Space with a FastAPI inference microservice backend. DrRetina is a three-track submission covering Vision & Multimodal AI, Fine-Tuning on AMD GPUs, and AI Agents & Agentic Workflows — making it one of the most complete medical AI systems in this hackathon with verified, quantified accuracy metrics.

AgentSourcing is a multi-agent research network built on the Arc blockchain, powered by Circle Programmable Wallets and Nanopayments. A user submits a research task with a small USDC deposit. A Manager Agent — powered by LLaMA 3.1 70B via Featherless AI — decomposes the task into specialized sub-tasks and autonomously hires 6 Specialist Agents. Each specialist is paid $0.002 USDC per task. These specialists, in turn, purchase premium data from external APIs using the x402 payment standard at $0.0005 per call. The entire pipeline — from task intake to final report delivery — generates approximately 50 on-chain USDC transactions per run, all verifiable on the Arc Testnet Block Explorer. On-Chain Trust Layer: Every agent maintains a reputation score tracked by a custom ERC-8004 smart contract written in Vyper and deployed on Arc Testnet. The Manager uses these scores to select the best available specialist for each task. Why this is impossible without Arc: On Ethereum, each micro-payment of $0.002 would incur $2+ in gas fees — a 100,000% overhead. On Polygon or L2s, gas still ranges from $0.01 to $0.05, making sub-cent payments unprofitable. Arc's USDC-denominated gas makes this model economically viable for the first time. Tech Stack: Arc Testnet (settlement), Circle Programmable Wallets (agent treasury), Circle Nanopayments + x402 (per-API monetization), Featherless AI (LLaMA 3.1 70B Manager + Qwen/DeepSeek/Mistral Specialists), ERC-8004 Vyper Smart Contract (reputation), FastAPI backend, React + TypeScript frontend.

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. 💰 $10,000 total prize pool Developers, builders, and innovators - bring your boldest ideas and let’s turn them into real AI systems on AMD.

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.