Saif Hasan Shafe@saifhasanshafe27300

DocuPilot AI by Tech_Innovators streamlines document processing and knowledge management for businesses. It tackles manual data extraction, inefficient searching, and verification challenges in documents like invoices, contracts, and reports. The platform integrates document extraction, intelligent search, invoice analysis, automatic classification, and human review. Users can upload documents, extract text, query content, and inspect original evidence securely. Key Features: 1. **Intelligent Document Extraction:** Extracts text from PDFs, images, and TXT. 2. **Evidence-Grounded Q&A:** Provides answers with source references and evidence. 3. **Invoice Intelligence:** Extracts invoice data, performs checks, and generates financial reports. 4. **Explainable Document Classification:** Auto-categorizes documents with traceable evidence. 5. **Human-in-the-Loop Verification:** Allows users to correct and approve extracted data. 6. **Private Document Management:** Ensures security with authentication and authorization. 7. **Optional Asynchronous Processing:** Supports background extraction with job tracking. Built with modern web technologies, DocuPilot AI emphasizes trustworthy workflows by linking information to original evidence and enabling human verification. It's ready for hackathon submission and demonstrations; public deployment requires further security validation.

VoiceShield is an AI-powered real-time scam call defender, protecting vulnerable individuals from billions in losses. Traditional caller ID is insufficient; VoiceShield analyzes conversations to detect evolving scam tactics like psychological manipulation and social engineering. This SecOps platform intercepts and analyzes live audio, transcribing it and feeding it to an AI reasoning engine. Instead of keyword matching, it understands context, identifying urgency, untraceable payments, technical exploitation, and authority spoofing. If a scam is detected, VoiceShield issues high-severity alerts, risk scores, and actionable advice (e.g., "DO NOT PAY. HANG UP IMMEDIATELY"). All threats are logged for reporting. Built with React/Vite, Tailwind CSS, Python/FastAPI, PostgreSQL, AssemblyAI, and Google Gemini, VoiceShield boasts a decoupled, cloud-native architecture. Challenges included browser audio handling, deployment, and CORS configuration. We're proud of bridging unstructured audio with actionable intelligence, creating an intuitive UX/UI, and the AI's ability to identify "zero-day" scams. Learnings encompass the MediaRecorder API, asynchronous Python, relational databases, and advanced prompt engineering for structured JSON output. Future plans include mobile OS integration, carrier-level deployment, and multi-language support to end phone scams.

Options Sentinel is an AI-driven options trading system built around one core principle: AI can recommend, but it cannot authorize. The system converts live market data into a structured context (price, volume, volatility, and regime detection), then runs a multi-agent debate — a Bull Agent and Bear Agent argue opposing theses, and a Decision Agent synthesizes their reasoning into a single trade proposal. Before anything reaches a broker, every proposal passes through the Risk Gate: a deterministic, non-AI validation layer that checks position size, account equity, and max allowed risk against hard-coded rules. Trades that exceed risk thresholds are blocked outright, regardless of how confident the AI agents were. Approved trades are routed through an MCP (Model Context Protocol) server, which acts as the controlled interface between Options Sentinel and Alpaca's paper trading API — giving the AI system tool access without direct, unrestricted account control. Every decision is logged in a trade journal (bull/bear confidence, risk outcome, and consensus) and monitored continuously, so the system tracks not just what it traded, but why. The result is an autonomous trading loop — Observe → Debate → Decide → Validate → Execute → Monitor → Learn — designed for safety and auditability rather than unrestricted AI autonomy.

Six Matches. One leaderboard. Build on AMD, earn points and compete for prizes.

🌎 Hybrid Hackathon | 💻 Online Build: October 16–19, 2026 | 📍 On-site: October 19–20, 2026 The official hackathon of AI & Big Data Expo Europe, organized by TechEx Events and lablab.ai. Build AI applications and agents across AI, cybersecurity, cloud, IoT, automation, edge computing, digital transformation, and data infrastructure, then showcase your project live at one of Europe's largest enterprise technology events. 📍 On-site Venue (October 19–20): RAI Amsterdam Europaplein 24, 1078 GZ Amsterdam, Netherlands 📍 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.

🌎 Online Hackathon | 💻 Month-long challenge | Dates: Sep 1–30, 2026 | 🏆 $10,000 Prize Pool ($5k cash + $5k in AAI credits) A month-long online challenge run by lablab.ai together with AssemblyAI, the Voice AI infrastructure company for builders. Every participant builds on AssemblyAI. You can join at any point — registration stays open for the whole build window, so you can start on day one or pick the project up halfway through and still submit. 🌍 Fully online hackathon. Join and build from anywhere in the world.

🌎 Online Hackathon | 💻 Dates: 28 August–4 September 2026 | 🏆 $6,000 Prize Pool Build AI trading agents on Alpaca — autonomous agents and trading apps using Alpaca's Trading API, MCP server and CLI. 🌍 Fully online hackathon. Join and build from anywhere in the world.