Amna Sabahat@amnasabahat470

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.

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

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.