Post by Hari Haran

Full stack Developer

šŸš€ Excited to share my latest AI project: Placement Preparation Assistant using RAG (Retrieval-Augmented Generation) This project helps students interact with placement preparation materials through a conversational AI interface. šŸ”¹ Key Features: • Upload and analyze PDF documents • Semantic search using vector embeddings • Retrieval of relevant content with FAISS • Context-aware answers powered by an LLM • Support for aptitude, Java, DBMS, OS, and interview preparation materials šŸ› ļø Tech Stack: • Python • LangChain • FAISS • Streamlit • Sentence Transformers • Google Gemini / Ollama šŸ“š What I learned: • RAG architecture and workflows • Embeddings and vector databases • Document chunking and retrieval • Prompt engineering • Building end-to-end AI applications This project strengthened my understanding of how modern AI systems combine information retrieval with large language models to deliver accurate, context-aware responses. I'm continuously exploring AI, Machine Learning, and Generative AI technologies and would love to connect with others working in this space. Github Link:https://lnkd.in/eHGmcnAd #AI #GenerativeAI #RAG #MachineLearning #DataScience #Python #LangChain #FAISS #LLM #ArtificialIntelligence #StudentDeveloper #SoftwareDevelopment #TechProjects

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