Ahsan Naaz
AI Engineer building AI agents, AI chatbots and automations
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Developed an AI-powered Meeting Notes Generator using Python, FastAPI, Streamlit, Whisper, and a locally hosted Llama 2 model via Ollama. The application automatically transcribes meeting audio, generates concise summaries, extracts key action items, and provides the complete transcript through an intuitive web interface. It streamlines meeting documentation, improves productivity, and helps teams capture important decisions and next steps effortlessly.
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Developed an AI-powered Text Summarizer using Python, FastAPI, Streamlit, and a locally hosted Llama 2 model through Ollama. The application provides an intuitive web interface where users can submit long-form text and receive concise, accurate summaries in real time. It features a FastAPI backend for inference, a Streamlit frontend for user interaction, and integrates local LLM inference to deliver fast, privacy-focused text summarization without relying on cloud APIs.
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Developed a production-ready Retrieval-Augmented Generation (RAG) AI Chatbot using Python, FastAPI, LangChain, and ChromaDB. The application allows users to upload documents (PDF, DOCX, TXT, CSV, XLSX) or scrape website content, automatically indexes the data into a vector database, and answers questions using semantic search and LLMs. It supports conversational memory, multi-format document ingestion, REST APIs, and a responsive web interface for accurate, context-aware AI-powered question answering.
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Developed a production-ready AI Blog Writing Agent using Python, LangChain, and LangGraph to automate the end-to-end blog creation process. The agent intelligently plans content, performs web research when needed, generates structured SEO-friendly articles with titles, outlines, introductions, body sections, and conclusions, and produces professionally formatted, high-quality blog posts from a single user prompt.
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