Tabasum Shah@Tabasum

Neuroscience-Informed Habit Tracker is a powerful tool designed to make habit-building easier and more sustainable by leveraging insights from brain science. Unlike traditional habit trackers, it goes beyond simple checklists by integrating principles from neuroscience and behavioral psychology to help you stay motivated, consistent, and focused on long-term growth. The tracker adapts to your progress, offering personalized reminders and motivational feedback tailored to your unique journey. By reinforcing positive behaviors and creating structured routines, it helps strengthen the neural pathways that make habits stick. With clear progress tracking, visual insights, and gentle nudges, it transforms habit formation into a science-backed process that actually works. Whether you’re building healthy routines, improving productivity, or breaking old patterns, this tool empowers you to take control of your habits and achieve lasting change.

The AI Medical Assistant is a real-time web-based chatbot that provides users with intelligent, context-aware medical suggestions using advanced natural language processing. Built with Flask, OpenAI's GPT-4o (via the AIML API), LangChain, Pinecone, and HuggingFace embeddings, the app retrieves relevant medical information from a vectorized knowledge base and generates human-like responses. It maintains conversation history to ensure continuity and uses semantic search to ground its answers in actual medical content. This tool is ideal for users seeking quick medical guidance or educational insights and can be easily expanded for clinical or multilingual use.

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.

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.

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.

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

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.

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.

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 Internet of Agents Hackathon to build real-world, rentable agents using Coral Protocol and Solana-powered payments. 📅 September 14–21, 2025 Sept 14–21: Build online with global innovators. Submit projects by the deadline. Sept 20 (NYC): On-site build day at Solana Skyline (invitation only). Sept 21 (NYC): Live pitches, networking, and winner announcements. 🧠 Mentorship from experts and Coral specialists throughout. 🤝 Participate solo or in teams. 📍 Travel and accommodation not covered. 🚀 Sign up now to secure your spot before the Kick-Off Stream!

🕒 6 days to explore the full potential of GPT-5 💡 Build next-gen AI apps 🤝 Compete solo or form a dream team 🚀 Connect with global innovators 🧑🏻‍💻 Sign up before the Kick-Off Stream to secure your spot!