Muhammad Hashir Ehtisham@hashirehtisham

AI-powered agriculture management system with YOLO image analysis & custom-dataset RAG Generates downloadable insight reports for farmers AI-powered agriculture management system with YOLO image analysis & custom-dataset RAG Generates downloadable insight reports for farmersAI-powered agriculture management system with YOLO image analysis & custom-dataset RAG Generates downloadable insight reports for farmersAI-powered agriculture management system with YOLO image analysis & custom-dataset RAG Generates downloadable insight reports for farmersAI-powered agriculture management system with YOLO image analysis & custom-dataset RAG Generates downloadable insight reports for farmers

PregniTech is an AI-driven pregnancy guidance platform designed to support expecting mothers throughout all nine months with personalized, month-specific assistance. It delivers tailored diet plans, mental wellness tips, and partner guidance through interactive AI chatbots hosted on Hugging Face Spaces and embedded seamlessly into a modern React + TypeScript frontend. Powered by Retrieval-Augmented Generation (RAG), FAISS vector search, and Sentence Transformer embeddings, PregniTech ensures each response is accurate, contextual, and medically relevant—making reliable pregnancy support accessible anytime, anywhere.

This project "NetPulse AI" focuses on network health monitoring and fault prediction using a Raspberry Pi and AI-powered analysis. The Raspberry Pi collects real-time system performance data—including CPU usage, temperature, signal strength, and packet loss—via sensors and serial communication. A VBScript automates data logging, storing readings in an Excel file without user intervention. The script detects anomalies and logs detailed error messages to help diagnose potential failures. This setup enables continuous monitoring without manual oversight, ensuring that network performance metrics are recorded efficiently. Once the data is logged, users can upload the Excel file to an AI-powered chatbot hosted on Hugging Face. The chatbot, built using Gradio, Pandas, and Zephyr-7B-Beta, processes the data to provide insights under three key sections: Future Performance Prediction, Risk Analysis and Potential Issues, and Preventive Actions and Recommendations. The AI detects patterns, predicts potential failures, and offers optimization strategies for network stability. Users can also download a detailed report and interact with the chatbot for additional troubleshooting and performance improvement suggestions.

An AI powered Lawyer app named Legal Mind developed by team Helix AI. Description: Simplify your legal needs with LegalMind. Get instant, accurate advice, review, and drafting right from your phone. Our user-friendly app offers 24/7 support, tailored guidance, and secure, cost-effective solutions for all your legal queries. Use LegalMind today and take control of your legal matters with confidence! LegalMind is an innovative AI-powered legal assistant designed to simplify and enhance your legal experience. Built using Streamlit on Hugging Face and powered by the advanced AI71 API, Whether you need help with contracts, disputes, or everyday legal questions, LegalMind makes navigating the legal landscape straightforward and accessible. Meet our team: Hashir Ehtisham - Leader of team (AI & ML Developer) Huba Iftikhar - Software Engineer Muhammad Tayyab - Programmer

🌎 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.

🌎 Hybrid Hackathon | 💻 Online Build: September 10–16, 2026 | 📍 On-site: September 15–17, 2026 The official hackathon of AI Infra Summit — co-organized by Kisaco Research and lablab.ai. Build production-grade AI applications on the modern AI infrastructure stack, alongside 8,000+ attendees, researchers, founders, and infra leaders. 📍 On-site Venue (September 15–17): Santa Clara Convention Center 5001 Great America Pkwy, Santa Clara, CA 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered.

🌎 Online Hackathon | 📅 August 3–10, 2026| 💻 Powered by native.builder The official native.builder hackathon, hosted by NativelyAI and lablab.ai. Join founders, developers, designers, and builders to create real AI-native applications powered by native.builder: from idea to deployed product, fully in the cloud. 💻 This hackathon is fully online. No travel required.