Urooj Ashfaq@UroojAshfaq

1. What is MIMU? MIMU is a mobile/web-based intelligent medical assistant designed to detect pain sounds, verify that these sounds come from the owner of the phone, and automatically trigger emergency alerts when the patient cannot respond. It works entirely on-device, using the microphone, lightweight audio processing, and smart logic — ideal for elderly people, patients with chronic pain, or individuals living alone. 2. Core Features ✓ Pain Sound Detection Continuously listens for high-intensity sounds that may indicate distress or pain using RMS audio analysis. ✓ Owner Voice Verification Before triggering any emergency alert, the system checks whether the sound came from the registered owner using: MFCC features Additional spectral features Local similarity comparison (cosine distance) This dramatically reduces false alarms caused by other people or background noise. ✓ Emergency Alert Automation If a possible pain event occurs: The user gets a 10-second auto-cancel prompt. If they do NOT respond → the system automatically sends an alert to: Caregivers Emergency contacts Medical assistants A connected automation system (Make/EasyConnect webhook) ✓ Fully Local Processing All raw audio stays on the device. Only processed data (MFCC vectors + event info) is stored locally. ✓ Webhook Integration Easily connects with: Make / EasyConnect Telegram bots Airtable SMS or WhatsApp alert systems

Fotopico was created to solve a familiar problem: we all take thousands of photos but can rarely find the exact moment we’re looking for. Instead of scrolling endlessly, Fotopico uses AI to truly “understand” your images. Fotopico is an intelligent visual search platform that leverages Google’s Gemini Vision API and Qdrant vector embeddings to create a powerful semantic photo retrieval system. When users upload images, Fotopico automatically analyzes each one, extracting high-level features such as objects, scenes, context, text, and emotional cues. These embeddings are stored in a vector database optimized for similarity search. When a user enters a query, Fotopico converts the text into an embedding and performs a nearest-neighbor search to return ranked results with confidence scores. This enables natural language photo search—far beyond basic metadata or object detection. Fotopico solves the universal problem of disorganized photo libraries by offering fast, intelligent, and context-aware retrieval.

The AI-Powered Space Tutor simplifies access to space data for researchers, educators, and enthusiasts. Using Groq API, OpenAI models, NASA datasets, and Tavily search, it delivers AI-driven insights and real-time space exploration knowledge through an intuitive Streamlit UI. A RAG model ensures accurate, context-aware responses, while the FastAPI backend enables seamless interaction. This project democratizes space education, making complex data more accessible and engaging. Technologies Used: Python, FastAPI, Streamlit Tavily Langchain LangGraph Unicorn Groq API (Llama 3), OpenAI (GPT-4o) NASA API, Tavily Search API Local & cloud deployment

Smart Meeting Summarizer Smart Meeting Summarizer revolutionizes how professionals manage meetings by transforming lengthy transcripts into actionable insights. It leverages cutting-edge AI technology, including NLP models, Gradio for a user-friendly interface, and Hugging Face Spaces for deployment, to deliver a seamless, interactive experience. The tool supports diverse input formats such as text, PDFs, and live transcriptions, making it versatile for various use cases. By summarizing key points, decisions, and action items, it helps users save time and stay focused on critical tasks. Additional features include keyword highlighting and sentiment analysis to provide context and enhance understanding. The backend, developed in Python, uses advanced libraries like Hugging Face's Transformers, spaCy, and NLTK to ensure high-quality processing. Gradio powers the intuitive frontend, allowing users to upload data, view summaries, and download insights effortlessly. Key benefits include: Time-saving: Quickly extract critical information from lengthy discussions. User-friendly: Clean interface for easy navigation. Action-oriented: Focus on decisions and next steps. Customizable: Supports multiple formats for diverse needs. Deployed on Hugging Face Spaces, Smart Meeting Summarizer ensures scalability, accessibility, and robust integration. Future plans include real-time summarization, multilingual support, and integrations with platforms like Slack and Zoom. Smart Meeting Summarizer is a powerful tool for professionals seeking efficiency and clarity in their meetings, turning conversations into actionable outcomes.

Tourism Industry is one of the major industry affecting revenue and impacting the lives of majority of population that resides in LATAM regions, we are building a super app that helps to tackle various issues and challenges. Navigating safety routes for tourists, helping local businesses with visibility, integrating art, culture, hidden gems and history for tourists to see and be aware of, helping with multi-lingual support, enabling user interactions, bookings and accommodations, enabling better replies from AI chatbot interactions and maintaining data about health and hygiene, balancing ecological factors while promoting Tourism are of key essence to this platform!

Join our $1,000,000+ startup challenge series powered by Surge 📌 This announcement outlines the launch of a Global Human+AI Exchange — aligning universities, global cities, talent networks, and industry to accelerate human-centered AI innovation, technology transfer, and economic growth. 👉 Read more here ⏱️ 8 days to turn your idea, or existing product, into an investable demo. 📅 February 6 - 15, 2026 • Feb 6 - 14 (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 February 14th. 🕙 Doors open at 10:00 AM, first come, first served. • Feb 14 (On‑site Build Day) - Selected participants will be invited to an exclusive in‑person session to refine their projects and connect directly with mentors. • Feb 15 (On‑site Demos & Awards) - Live pitching sessions to a panel of judges and ecosystem partners, followed by the official winner announcement. 🌟 Get feedback from startup mentors and technical experts. 📍 On-site Venue (Feb 14–15): MindsDB SF AI Collective 3154 17th St, San Francisco, California, USA 📲 Real-time on-site updates (SF) For real-time announcements and information during the on-site portion (Feb 14–15), join the LabLab SF Chapter WhatsApp group: 👉 Join the WhatsApp group 🤝 Join solo or with a team. New founders and existing startups are welcome. 🏆 $1,000,000+ in credits, token prizes, perks and funding opportunity. 📍 On-site participation is by invitation only. Travel and accommodation expenses will not be covered. 🧑‍💻 Apply now to build, validate, and pitch with purpose.

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Leverage Orchestrate’s digital skills to design solutions that automate repetitive tasks, orchestrate workflows across tools, and empower employees to focus on high-value work. ⏳ Complete your project in just 48 hours and showcase your innovation. 🚀 Gain hands-on experience building with IBM watsonx Orchestrate. 💡 Develop practical AI agents that reshape the way teams and organizations operate. ⭐ Learn directly from experts who will support you throughout the event. 🤝 Team up or work independently to bring your vision to life. 💰 Prizes: $10,000 🧑🏻‍💻 Sign up before the Kick-Off Stream and start shaping the future with IBM watsonx Orchestrate!