Tabasum Shah@Tabasum

It is an innovative Streamlit-powered application designed to revolutionize document handling. It supports multi-format uploads, including PDFs, DOCX, PPTX, and XLSX, and leverages AI for advanced processing tasks like summarization, quiz generation, and content combination. The app provides an intuitive drag-and-drop interface, real-time insights through a responsive UI, and professional PDF export options. Key features include AI-powered summarization for concise content extraction, quiz generation in multiple formats (MCQs, True/False, etc.), and combining documents while maintaining structure and coherence. With a sleek, modern design enhanced by animations, the Smart Document Processor ensures a seamless user experience. It is built on cutting-edge technologies like Python libraries (ReportLab, Pandas) and Groq API for AI integration. This tool is perfect for use cases in hackathons, education, and corporate settings, automating tedious document tasks and saving valuable time. The app’s potential for real-time analytics and future enhancements like cloud integration make it a forward-thinking solution for document management. Whether you are a student, educator, or professional, the Smart Document Processor is tailored to empower you with intelligent automation and robust capabilities.

This project aims to develop a Retrieval-Augmented Generation (RAG) application designed to predict lung cancer risks using a comprehensive health dataset. The dataset includes critical features such as gender, age, smoking habits, anxiety, chronic diseases, and symptoms like coughing, wheezing, and chest pain. The RAG framework combines a robust retrieval system with generative AI to deliver precise and contextual insights. By analyzing input data, the application predicts the likelihood of lung cancer and provides evidence-based recommendations for early detection and intervention. Built on Groq and deployed via Streamlit, this solution empowers healthcare providers and individuals to make informed decisions.

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

𝗦𝗣𝗢𝗧 𝗖𝗼𝗻𝗻𝗲𝗰𝘁 is an AI-powered network resilience platform that revolutionizes 𝗽𝘂𝗯𝗹𝗶𝗰 𝘀𝗲𝗰𝘁𝗼𝗿 infrastructure by harnessing cutting-edge AI solutions to drive predictive maintenance, real-time monitoring, and intelligent routing. Our platform addresses critical 𝗰𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲𝘀 such as reactive maintenance, inefficient resource allocation, high operational costs, and suboptimal routing, ensuring networks remain robust, reliable, and efficient. Utilizing hyperdimensional computing and advanced time-series analysis, SPOT Connect anticipates faults before they occur, optimizes maintenance schedules, and manages energy and costs through dynamic routing algorithms and QoS-aware optimization. The secure architecture, built on a FastAPI framework and Python ML stack, guarantees real-time data processing and robust security. Future enhancements include advanced ML model integration, IoT sensor expansion, GIS data incorporation, and cloud-native deployment, positioning SPOT Connect as the cornerstone of digital transformation in the public sector.

AI Lawyer Chatbot is an AI-powered legal assistant that helps users navigate legal documents and receive accurate legal insights. It leverages Groq’s DeepSeek model and Camel AI for intelligent legal reasoning while incorporating a Retrieval-Augmented Generation (RAG) system to provide context-aware responses. Users can upload legal PDFs, ask legal questions, and receive reliable answers based on the extracted document content. The chatbot strictly follows the provided context, ensuring factual and legally relevant responses. With FAISS-based vector search and Hugging Face embeddings, it efficiently retrieves relevant legal text, making legal assistance more accessible, efficient, and user-friendly.

Contract Analysis Assistant is an AI-driven tool designed to streamline the process of reviewing legal contracts. Powered by IBM Granite, this assistant analyzes contract documents to identify potential risks, compliance issues, ambiguous terms, and key clauses that may impact legal and business decisions. Users can upload a PDF contract, and the AI will perform a detailed analysis, highlighting areas of concern such as legal pitfalls, operational risks, and clauses that may lead to disputes. The tool ensures faster contract reviews, reduces manual effort, and provides actionable insights to help legal teams and businesses make informed decisions. With an intuitive Streamlit-based interface, users can fine-tune AI settings like token limit, sampling parameters, and creativity levels to customize their analysis. Whether you are a lawyer, business owner, or compliance officer, the Contract Analysis Assistant simplifies complex contract analysis, making legal document review more efficient and accessible.