Urooj Ashfaq@UroojAshfaq

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!

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