Amna Sabahat@amnasabahat470

🩺 Problem Statement Medical students often struggle to bridge the gap between theory and practice. While textbooks provide knowledge, students rarely get the chance to practice clinical reasoning, patient interviews, and decision-making in a safe, low-stakes environment. Traditional case-based learning is often static, repetitive, and lacks interactive feedback, leaving students unprepared for real-world patient encounters. 💡 Our Solution: DocQuest DocQuest is an interactive AI-powered simulation platform where learners can: Interview virtual patients powered by GPT-5. Practice diagnostic reasoning by proposing tests, forming differential diagnoses, and planning management. Receive instant AI-driven feedback with scores, learning points, and red-flag highlights. It’s like a safe “practice ward” where students can make mistakes, learn, and improve — without any risk to real patients. 🚀 Key Features Case Library: Browse cases across multiple specialties (Cardiology, Neurology, Respiratory, Endocrinology, etc.). AI Patient Interview: Ask questions and interact dynamically with a simulated patient. Solve Cases: Enter diagnosis, key tests, and management plans. Feedback & Scoring: AI evaluator provides structured feedback (Diagnosis 4/4, Tests 3/3, Plan 3/3). Progress Tracking: Track cases completed, average score, and improvement over time. Today’s Challenge: Daily highlighted case for gamified learning. 🔮 Future Additions Leaderboard & Badges: Gamify the experience with rewards and peer competition. Multiplayer Mode: Allow group discussions on a case with collaborative solving. Custom Case Builder: Let educators create and upload their own cases. API Integration: Connect with medical knowledge APIs (e.g., UpToDate, PubMed) for deeper references. 👉 Our vision is to empower medical students and young doctors worldwide with a safe, engaging, and effective tool to sharpen their diagnostic reasoning skills.

In early childhood (ages 3–10), teachers and parents play a vital role in shaping a child’s growth. But they often face daily challenges from creating engaging content and managing routines to handling emotional moments and simplifying complex topics for young minds. Many lack the time, tools, or creative energy to do it all. That’s where ELIA (Empowered Learning & Interaction Assistant) steps in — an AI-powered assistant designed to support both teachers and parents in nurturing children through smarter, more meaningful engagement. Using the Groq API, LLaMA models, and Blackbox.ai, ELIA provides real-time, personalized help for a wide range of teaching and parenting needs. Whether you're preparing for class or facing a parenting dilemma, ELIA is your creative, intelligent companion. 🔍 Key Features: 🧩 Weekly learning plans & fun activities based on child’s age/class 🍎 Nutrition, sleep, and emotional wellness support 📚 AI-generated stories, quizzes, and classroom content 👩‍🏫 Tips for simplifying complex ideas into child-friendly explanations 🏠 On-demand parenting advice to handle real-life situations with care 📝 Worksheets, rubrics, and teaching resources ready to use 🎯 What Makes ELIA Unique: Combines teaching and parenting support in one simple tool Built on Groq-powered LLaMA models for fast and smart content generation Developed with help from Blackbox.ai to enhance productivity and code quality Designed by students, inspired by real-life classroom and home challenges Warm, friendly, and safe — for both mentors and little learners ELIA isn’t just an assistant — it’s a bridge between care and curriculum, helping the people who shape tomorrow do it with ease, empathy, and excellence.

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

Our project aims to revolutionize travel planning through the utilization of Google Generative AI (Gemini) to offer personalized recommendations. Users input their preferences, budget, and desired destinations via an intuitive interface. Gemini then processes this information to generate customized travel itineraries, including attractions, restaurants, and activities that align perfectly with the user's preferences and budget constraints. Our platform takes into account details such as the source, destination, travel start date, budget, and duration of the trip, providing users with a seamless and personalized travel planning experience. By leveraging cutting-edge AI technology, we aim to simplify the process of trip planning and enhance the overall travel experience for our users.

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