FreelancePro AI is an LLM-powered chatbot built to help freelancers with common freelancing questions and guidance. I developed it using Python, an LLM API, and Gradio, then deployed it on Hugging Face Spaces. The project demonstrates my skills in LLM integration, chatbot development, and AI application deployment.

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Built and deployed TechNova RAG AI Assistant — an intelligent document-based assistant that lets users ask questions about their documents and receive relevant, source-backed answers. The assistant uses Retrieval-Augmented Generation (RAG) to retrieve relevant information from uploaded documents before generating responses, helping reduce unsupported answers and making document search more useful. Key features: • Document-based question answering • RAG pipeline for contextual responses • Source references with answers • Conversation memory • Casual English and Roman Urdu conversations • AI assistant-style chat interface • Streamlit deployment Tech Stack: Python • RAG • LLMs • LangChain • Vector Database • Streamlit

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Built an interactive Customer Churn Prediction ML App using Python, Scikit-learn, and Streamlit. 🤖📊 The app predicts customer churn risk and helps businesses identify customers who may be likely to leave, enabling better customer retention decisions. 🔹 Machine Learning 🔹 Customer Churn Prediction 🔹 Data Analysis 🔹 Python & Scikit-learn 🔹 Streamlit Deployment A practical ML project focused on turning customer data into actionable insights.

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Inshrah Fatima

"AI and ML Engineer |RAG Chatbots and Automation"