The e-commerce platform (https://ecommerce-lyart-five-31.vercel.app/) is a sophisticated web application designed to deliver a seamless and innovative shopping experience. Developed using Next.js for server-side rendering, React for dynamic UI, and Tailwind CSS for responsive styling, it is backed by a Neon PostgreSQL database for robust data management. The platform integrates Groq AI to power advanced features, including: Voice Search: Users can search products using voice input, processed via Groq’s Whisper model to extract keywords (e.g., "laptop" from "search for laptops"), with a 4MB file size limit for audio uploads. Image Search: Allows product searches by uploading images, enhancing accessibility. Product Filters: Enables users to refine searches by category, price, and rating. Smart Filters: AI-driven filtering for personalized results based on user behavior. Responsive Design: Ensures compatibility across devices, from mobile to desktop.

AI Climate and Farming Assistant is a dynamic Streamlit-based web application that utilizes the power of LLaMA 3 (via Groq API) to deliver intelligent, real-time insights on climate, air quality, and agricultural trends. Designed to support farmers, environmental analysts, and researchers, the app provides natural language understanding to answer complex climate and crop-related questions instantly. By integrating Open-Meteo API, it delivers accurate, real-time weather forecasts and pollution data tailored to specific locations. Users can input queries like “What’s the air quality forecast for Lahore tomorrow?” or “How will temperature trends affect wheat yield this week?”, and receive precise, language-based responses enriched with interactive charts using Plotly. The app also enables users to upload CSV datasets, such as farm yield records, temperature logs, or rainfall patterns, which the AI can analyze, summarize, and visualize. Whether it’s identifying weather trends, planning irrigation schedules, or detecting anomalies in crop performance, the app converts complex data into clear and actionable insights. It’s built for usability and speed, making it an essential AI-powered companion for sustainable agriculture and environmental decision-making.

COSMOLAB Multilingual Agent is an AI-powered platform designed to make space knowledge accessible in multiple languages. It integrates NASA data, speech-to-text processing, and AI-driven agents to provide accurate and engaging explanations of space-related topics. Users can ask questions via text or upload an audio file, and the system transcribes and processes queries in various languages, including English, Spanish, French, German, Chinese, and Arabic. The AI agents—one focused on research and the other on education—collaborate to analyze NASA’s latest data, verify facts, and explain complex space concepts in simple, easy-to-understand terms. By leveraging Hugging Face’s advanced AI models and FAISS for knowledge retrieval, COSMOLAB ensures that responses are both informative and linguistically accurate. The tool is ideal for students, educators, and space enthusiasts who want to explore the universe in their preferred language. With a user-friendly interface built on Streamlit, COSMOLAB offers seamless interaction, allowing users to switch between languages effortlessly. The speech-to-text feature enhances accessibility, making it easier for people with different learning preferences to engage with space science. Whether you are curious about black holes, Mars missions, or the latest NASA discoveries, COSMOLAB provides detailed, reliable, and multilingual insights. Powered by cutting-edge AI and real-time scientific data, it bridges the gap between space research and global audiences, fostering a deeper understanding of the universe.

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.

This AI-powered platform is designed to enhance English communication skills, with a focus on personalized feedback for writing and speaking improvement. The platform is ideal for students preparing for exams such as IELTS, PTE, and DET, as well as anyone looking to refine their English proficiency. Users can follow a 30-day structured writing plan, where they submit essays and receive in-depth feedback on areas like grammar, coherence, sentence structure, vocabulary usage, and writing style. For speaking practice, users can record their audio on various topics and receive real-time, AI-generated feedback on pronunciation, fluency, intonation, and word usage. The platform also transcribes audio submissions, allowing users to review their spoken content and identify areas for improvement. A key feature is the ability to track progress over time, with the platform maintaining previous conversations and interactions, providing continuity and enabling users to monitor their improvement journey. By offering both text and audio responses, this platform serves as a comprehensive tool to improve English communication skills, making it easier for students to gain confidence and fluency in both academic and professional settings.

EnglishCoach is an AI-powered app designed to improve writing and speaking skills for IELTS, PTE, and DET exams. It offers tailored 30-day, 45-day, and 60-day writing modules, focusing on grammar, coherence, and vocabulary, with real-time feedback. The speaking module provides instant pronunciation and fluency analysis through AI-driven conversation practice, helping users enhance their speaking skills in exam-like conditions. Personalized study plans and progress tracking ensure targeted improvements, making EnglishCoach a comprehensive tool for mastering English communication.By using data-driven insights, EnglishCoach tracks each student’s progress and adapts the lessons to their individual learning curve, ensuring continuous improvement and personalized support. With modules for writing and speaking, EnglishCoach is the ultimate tool for anyone aiming to excel in English communication exams and beyond.

ChatCinema is a multifaceted Streamlit application that combines a sophisticated movie information chatbot with advanced data processing and generation capabilities. The project integrates various cutting-edge technologies to create a versatile platform for movie enthusiasts, data scientists, and AI researchers. At its core, ChatCinema features a highly interactive movie chatbot. This chatbot utilizes a CSV file ('Hydra-Movie-Scrape.csv') as its primary data source, containing a wealth of information about various movies. To enable efficient and relevant movie retrieval, the application employs the 'all-MiniLM-L6-v2' sentence transformer model to generate embeddings for movie summaries. These embeddings are then used in conjunction with cosine similarity calculations to find the most relevant movie based on user queries. The chatbot's natural language processing capabilities are powered by the Groq API, specifically using the 'llama3-8b-8192' model. This integration allows for dynamic and context-aware responses to user inquiries. When a user inputs a movie-related query, the system retrieves the most similar movie from its database and uses this information as context for generating a response. The output includes comprehensive movie details such as title, year, summary, genres, IMDB ID, YouTube trailer link, rating, movie poster URL, director, writers, and cast information. Additionally, the chatbot generates relevant dialogues or additional information about the movie using the AI model. A key feature of ChatCinema is its ability to maintain and manage chat history. The application stores conversation logs in Streamlit's session state, allowing for a continuous and contextual chat experience. Users have the option to download their chat history, which is provided as an encrypted CSV file for enhanced privacy and security.

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