Ghulam Abbas@Abbasali786

Health Guardian AI is an AI-powered medical understanding and assistance platform designed to help individuals interpret their medical reports in clear, human-friendly language. Many patients receive lab results and diagnostic files full of medical terminology that can be confusing, stressful, or misinterpreted. Our application enables users to upload text or image-based medical reports, automatically extract and analyze content, detect key medical findings, identify associated risk levels, and present results in a simplified and structured format. The platform also generates personalized care plans, covering lifestyle guidelines, diet and nutrition, activity recommendations, and medical follow-up reminders, while clearly stating non-diagnostic safety disclaimers. It further offers an interactive AI health chat assistant trained to provide supportive and educational responses and guide users toward proper medical consultation when needed. Our mission is to empower users with medical awareness, reduce misunderstanding and anxiety, bridge the communication gap between patients and healthcare providers, and assist with informed health discussions, all while maintaining privacy, accuracy, and ethical responsibility.

AI Charity Payment Optimizer is an innovative platform that combines artificial intelligence, blockchain, and digital currency to revolutionize how charitable donations are managed and distributed. The system uses multiple specialized AI agents—such as the Needs Predictor, Milestone Verifier, Donation Tracker, and AutoDisbursement Agent—to automate and monitor the entire charity lifecycle. When donations are received, the AI analyzes NGO needs, verifies project milestones, and triggers secure on-chain USDC transactions through smart wallets. Each transaction is recorded transparently on the blockchain, providing real-time traceability for donors. The platform also includes AI-powered reporting to summarize social impact, detect fraud, and forecast future funding requirements. By integrating multi-agent orchestration and Web3 wallets, AI Charity Payment Optimizer ensures that funds reach the right cause efficiently, transparently, and accountably—redefining digital philanthropy for the AI era.

AgentSync is a fast, modular, multi-agent AI system designed to supercharge HR and Marketing workflows in enterprise settings. Built using LangGraph and powered by Groq's ultra-low-latency LLaMA 3 models, AgentSync enables real-time automation of resume screening, tone analysis, interview scheduling, and personalized email generation—all through a streamlined Streamlit interface. Each task is handled by a specialized agent, working independently and collaboratively to simulate a smart, AI-powered operations team. Deployed on Vultr Cloud, AgentSync delivers enterprise-grade speed, flexibility, and scalability. Our goal is to create reusable, domain-specific AI agents that can integrate into real-world enterprise systems, saving time and reducing friction.

AutoTest Agent is an AI-powered developer tool that takes a module of code and its intended use case (as text), then automatically generates and runs unit/integration tests. It leverages the multi-agent, deep-context, and LLM capabilities of Trae AI IDE to accelerate the testing process, ensuring better code coverage and developer productivity. ✅ Problem Statement: Many developers skip writing unit tests due to time constraints or lack of expertise. This leads to: Bugs in production Poor code quality Difficult code reviews and refactoring 💡 Solution: We provide a tool that: Accepts code modules (Python) Accepts a requirement/use-case description Uses AI agents to: Analyze the code Understand the use case Generate unit test cases Optionally run tests and show results 🔧 Key Features: 📥 Code Upload/Input – Users can upload or paste their Python code module 🗒️ Use Case Input – Short description of the intended functionality 🤖 AI Test Generator – AI agent generates test cases using pytest or unittest ▶️ Test Runner – (Optional) Run tests and return pass/fail results 💬 Feedback Loop – Users can edit/refine tests or regenerate 🧰 Technology Stack: Language – Python Test Framework – pytest or unittest AI Models – GPT-4o, Claude 3.5, Gemini 2.5 via Trae UI (optional) – Streamlit / CLI Version Control – GitHub 🤖 How Trae AI IDE is Used: Built custom AI agents using editable prompt templates Agents deeply understand code modules using context-aware capabilities Generated test cases with LLM support from Trae (GPT-4o, Claude) Leveraged Trae's real-time preview and one-click execution for faster iterations

PoliBot is an advanced global crisis negotiation simulator built using Python and Streamlit. The core idea is to model complex international relations and decision-making during various global emergencies (like climate collapse, pandemics, or energy crises) using autonomous AI agents. Each agent represents a specific country (e.g., USA, China, India, EU, Pakistan), equipped with a unique profile detailing its strengths, weaknesses, and national interests. Leveraging the Groq API and the Llama3 language model, these agents analyze the ongoing scenario, consult their recent memory of interactions, and decide on diplomatic actions—such as proposing deals, building alliances, or raising concerns—to best serve their country's objectives. The simulation dynamically tracks key global metrics (Peace Index, Economic Growth, CO₂ Emissions, etc.) and visualizes the evolving diplomatic network and relationships between nations using NetworkX and Matplotlib. Users can configure the scenario, participating nations, simulation speed, and other parameters, observing how AI-driven diplomacy unfolds turn by turn. The project demonstrates the potential of LLMs in simulating complex multi-agent systems and geopolitical dynamics.

Gaia is an innovative web application designed to provide safety and support to women who find themselves alone in potentially risky situations. The app can chat using an AI to give the user the illusion of being in company, offering both emotional reassurance and a sense of security. In addition, Gaia can help users call emergency services instantly if they are in danger. The app also features a map that identifies the most dangerous areas based on real-time emergency call data, enabling users to avoid risky locations. This data-driven approach will also assist law enforcement in intelligently focusing their efforts on areas with higher safety concerns. We have worked just for London and we have got the data from their official website.

Predicting Agriculture App is a sophisticated, yet user-friendly tool designed to forecast crop yields by analyzing various agricultural factors. This app allows users to input detailed information about their farming conditions, including climate zone, soil type, weather patterns, and farm practices. By providing data such as location, crop type, irrigation methods, and fertilizer usage, the app generates accurate and tailored yield predictions. Built with Streamlit, the app features an intuitive interface that simplifies data entry and makes the prediction process accessible to both novice and experienced farmers. It leverages a powerful API to analyze the input data and provide insights into potential crop yields, helping users make informed decisions about their farming practices. Whether you are managing a small garden or a large farm, the Predicting Agriculture App offers valuable predictions that can optimize your yield and improve agricultural outcomes. By considering critical factors such as soil moisture, temperature, and weather conditions, the app supports effective planning and resource management, ultimately contributing to more successful and sustainable farming operations.

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.

In this hybrid hackathon powered by Arc, developers will build the next generation of agentic commerce systems using Arc with USDC. Explore a world where AI agents and web services can pay for APIs, data, compute, and content in dynamic, usage-based ways, while Arc provides stablecoin-native settlement with predictable USDC fees and deterministic, sub-second finality. This hackathon is supported by Google & Google DeepMind, with a dedicated challenge and $40,000 in Google Cloud Platform (GCP) credits awarded for the best use of Gemini models and Google AI Studio. 📅 January 9 – 24, 2026 • Jan 9 – 23 (Online Phase) – Collaborate and build online with developers and AI innovators from around the world. All projects must be submitted by the end of the online phase on January 23rd. • Jan 23 (On‑site Build Day – San Francisco, CA) – Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Jan 24 (On‑site Demos & Awards – San Francisco, CA) – Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. Get guidance from Arc and Circle experts through on-site support. 📍 On-site Venue (Jan 23–24): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 🤝 Go solo or team up, it's your flow. 🏆Compete for $50,000 in USDC & GCP Credits. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑🏻‍💻 Secure your spot now - sign up before the Kick-Off Stream!

Join the next edition of our flagship AI hackathon — now featuring Google, AppliedAI, and Qdrant as official partners, with over $45,500 in prizes and exclusive partner challenges. After an incredible launch earlier this year, we’re back with the next edition of our AI hackathon series leading up to the /function1 AI Conference & Exhibition in Dubai. Tap into the power of AI to innovate, build, and take your AI skills to the next level in this high-impact hybrid experience. 📅November 14–19, 2025 • Nov 14–18: Collaborate and build online with AI enthusiasts from around the world. All projects must be submitted by end of day on November 18 • Nov 18 (Dubai): An exclusive on-site build day at Festival Arena Dubai for selected participants. • Nov 19 (Dubai): Live on-stage pitching & winners announcement at the /function1 Conference. 🌟 Get support from expert mentors throughout. 👥 Go solo or team up. 📍 Please note: On-site participation is by invitation only. Travel and accommodation will not be covered for selected participants. Further details will be shared with those accepted. 🧑🏻‍💻 Secure your spot now—sign up before the Kick-Off Stream!