3
1
Pakistan
1 year of experience
I am Hassan Farooq, an aspiring Agentic AI Engineer and Python Developer. Currently pursuing a BS in Information Technology from Government College University, Faisalabad (GCUF), I am passionate about AI, automation, and advanced programming. With a strong foundation in Python, I am continuously exploring the world of AI-driven solutions and intelligent systems to make a meaningful impact in the tech industry.
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.