Umer Anis@umer2024

PulseIQ is a real-time enterprise intelligence agent designed to act as an AI Chief of Staff for product and executive teams. Instead of relying on fragmented dashboards or manual analysis, PulseIQ continuously monitors business activity across customers, partners, and revenue to automatically detect meaningful changes, explain why they happened, and generate executive-ready briefings. PulseIQ unifies live operational data into a metrics layer and a business knowledge graph, enabling true cross-domain reasoning. When key indicators like Client LTV decline, the system traverses this graph to identify upstream causes — such as shifts in partner quality or acquisition channels — and converts those signals into structured insights. The platform answers four critical questions in real time: what changed, why it changed, what risks are emerging, and what actions can be taken. These are surfaced through a live executive dashboard showing KPIs, detected root causes, and AI-generated Insights, Risks, and Opportunities. Unlike traditional BI tools or chat-over-data interfaces, PulseIQ operates autonomously. It proactively surfaces intelligence as it happens, allowing teams to move from reactive reporting to continuous decision intelligence. This enables leaders to focus on building and scaling while PulseIQ continuously tracks performance, flags emerging issues, and recommends corrective actions. For the hackathon, PulseIQ demonstrates this capability using synthetic real-time data, a knowledge graph for causal analysis, and an executive dashboard with automated briefings. The architecture is designed to integrate with enterprise APIs in production environments, making it applicable to use cases such as revenue health monitoring, partner quality analysis, churn risk detection, and platform-wide operational intelligence. In short, PulseIQ transforms raw business events into actionable executive insight — helping organizations move from dashboards to decisions.

EduAccess AI is an accessibility-focused platform that transforms traditional classroom materials into inclusive, student-ready learning experiences. Teachers simply upload a PDF or worksheet, and the system automatically extracts the content, simplifies it, and adapts it for students with dyslexia or visual impairments. Powered by Gemini 2.5 Flash, EduAccess AI rewrites educational text using short sentences, clear structure, and age-appropriate vocabulary. For blind learners, content is optimized for screen readers with clean formatting and optional text-to-speech playback. To ensure quality and educational safety, each lesson is passed through an Opus agentic workflow, which evaluates clarity, flags accessibility issues, and generates an audit trail. Lessons are then delivered to a student dashboard where learners can read or listen to fully accessible content in their chosen language. EduAccess AI makes accessibility effortless, scalable, and teacher-friendly — enabling schools to deliver personalized, inclusive learning experiences in seconds rather than hours.

Smart Sense – AI-powered assistant for smarter insights and seamless interaction Smart Sense is an innovative project that combines JARVIS-like intelligence with the power of the Coral Protocol to create context-aware, agentic AI systems. Designed with accessibility at its core, Smart Sense empowers people with disabilities through voice-to-text, text-to-speech, smart assistance, and IoT-based navigation tools. Beyond accessibility, Smart Sense leverages Coral OS Agents to enable: ⚡ Context-aware workflows that adapt intelligently to user needs. 🔗 Composable agents for easy integration with existing systems and APIs. 🎨 Intuitive UI/UX for smooth, natural human–AI interaction. 🌍 Decentralized & open-source foundation to ensure scalability, transparency, and collaboration. Why Smart Sense? Millions of people worldwide face barriers in communication, navigation, and daily tasks. Affordable, effective assistive technologies are limited. Smart Sense bridges this gap by combining AI + IoT + decentralized agents to deliver a system that assists, protects, and guides—making technology a true ally. Tech Stack Framework: Coral Protocol (Coral OS Agents) Frontend: React, TypeScript Backend: Node.js, Python AI / LLMs: OpenAI, Mistral, other LLM integrations IoT & Sensors: For navigation and safety features Features 🗣 Voice-to-Text (for the deaf) 📝 Text-to-Speech (for the mute) 🦯 Smart Blind Stick (IoT-powered navigation aid) 🤖 JARVIS-like AI Assistance (voice, text, and gesture commands) With Smart Sense, we are building more than an app—we are creating a smarter, inclusive world powered by agentic AI.

AutoDoc Pro – Intelligent Code Documentation Generator AutoDoc Pro is a smart and lightweight tool that streamlines the process of documenting Python code. Powered by GPT-based agents via Trae IDE, it analyzes raw source code and intelligently generates high-quality docstrings in real-time — saving time and enhancing code readability. This project was built solo during the Code Craft AI x Dev Hackathon to address a common pain point in the developer workflow: poor or missing code documentation. 🔍 Key Features 🧠 Agent-Powered Analysis: Uses custom GPT agents inside the Trae IDE to understand code behavior. ⚙️ Automatic Docstring Insertion: Injects readable and structured docstrings directly into your functions. 🌐 Web-Based UI: Upload files or paste code manually, edit AI-generated summaries, and generate docs with a click. 🌓 Dark Mode Toggle: Friendly UI with light/dark mode support. 📋 Clipboard Support: One-click copy of generated code to reuse anywhere. 🚀 Tech Stack Frontend: HTML, CSS, JavaScript Backend: FastAPI (Python) AI Agent: Trae IDE with GPT-4 Deployment: Vercel (serverless functions) Version Control: Git + GitHub 🎯 Use Cases Quickly document open-source contributions Help students and beginners understand functions Maintain consistent style across large codebases Great for hackathons, bootcamps, and agile teams

This project is an innovative, AI-powered medical chatbot designed to help patients understand their medical reports and receive intelligent, personalized health recommendations. Leveraging Google Gemini and a modern full-stack architecture, the chatbot delivers natural, context-aware conversations and actionable medical insights in real time. The chatbot allows users to upload or input details from their medical reports. It then analyzes the content using advanced AI models and provides relevant suggestions, including possible diagnoses, follow-up actions, or general health advice. The system combines the power of large language models with semantic search and a seamless user experience. Key Features: Medical Report Analysis: Users can submit their reports, which the chatbot interprets using NLP and medical data context. Personalized AI Recommendations: The chatbot responds with tailored health insights, based on report content and user input. Conversational AI: Natural dialogue powered by Google Gemini and enhanced with Hugging Face's Inference API for additional ML capabilities. Semantic Search: Pinecone enables fast, accurate retrieval of relevant medical information via vector embeddings. Responsive Frontend: Built using Next.js, styled with Shadcn/ui, and deployed via Vercel, the frontend is clean, responsive, and user-friendly. Modular and Scalable Architecture: The codebase is well-structured, supporting fast iteration and future feature expansion. AI Integration: Powered by Google Gemini, Vercel AI SDK, and Hugging Face Inference API to ensure robust performance and flexibility. Tech Stack: Frontend: Next.js, Shadcn/ui, HTML/CSS Backend/AI: Google Gemini, Hugging Face Inference API, Vercel AI SDK Search/Database: Pinecone (vector database) Deployment: Vercel

📅 May 11–19, 2026 • May 11 – 19: Online Build Phase. • May 18 (Hybrid Build Day – Online & Onsite) • May 19 (Demos & Awards – Online & Onsite) 🌍 Hybrid event. Join online from anywhere or build onsite at the venue. 🏆 Winners will be announced live on stage at the AI & Big Data Expo North America on May 19 📍 On-site Venue (May 18–19): San Jose McEnery Convention Center, CA, USA 🤝 Join solo or with a team. 🎟 FREE AI & Big Data Expo North America ticket included for participants that are able to join the on-site phase. 🏆Compete for a $10,000 prize pool 🧑‍💻 Apply now to design, prototype, and showcase enterprise-ready innovation.

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.

In this hybrid hackathon powered by Arc and Circle, developers will build the next generation of Agentic economic applications using Circle’s Nanopayments infrastructure with settlement on Arc in USDC. For the first time, high-frequency, usage-based transactions between users, APIs, and AI agents can operate without gas overhead eroding margin. Arc provides stablecoin-native settlement with predictable, dollar-denominated USDC fees and deterministic, sub-second finality — enabling real-time coordination and economically viable per-action pricing at scale. 📅 April 20 – 26, 2026 • Apr 20 – 25 (Online): Submit projects by Apr 25. • Apr 25 (On-site Build – SF, CA): Teams refine projects. • Apr 26 (On-site Demos & Awards – SF, CA): Live pitches & winners announced. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (April 25-26): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆 Compete for a $15,000+ Prize Pool. 📍 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!

Join Deriv and lablab.ai for a high-intensity hybrid hackathon where top builders create AI prototypes, demo their work, and get fast-tracked to interviews. When • Sat, Jan 31, 2026- On-Site Pre-Hackathon: Deriv AI Meetup (Dubai) • Fri, Feb 6 - Opening words, Challenge, and Hackathon kick-off. (Dubai) • Sat, Feb 7 - Build and ship your prototype - 12 hours (Onsite +Online) • Sun, Feb 8 - Demos, judging, and next steps for standout teams. (Onsite +Online) On-Site Pre-Hackathon: Deriv AI Meetup Sat, Jan 31, 2026 · 2:00–6:00 PM (GST) · Dubai In-person talks, workshops, team formation, and networking with the Deriv team. 👉 Deriv AI Meetup registration What's in it for you • USD $10,000+ in prizes across categories • Mentors available to unblock you when you're stuck • Fast-track interviews for top performers - skip the queue • Real problems to solve - not toy demos Format • Teams of 1-3 • Hybrid: Dubai on-site or fully remote • On-site spots confirmed after screening Location • One by Omniyat, 24th Floor, Al Mustaqbal Street, Business Bay, Dubai, UAE • Travel and accommodation not provided. Apply now • Spots are limited. Shortlisting begins right after the event.