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Sazzad Hossain edited this page Aug 3, 2026 · 1 revision

🚀 Welcome to DataMind AI Wiki

DataMind AI is an intelligent Data & Document Assistant platform. This project serves as a comprehensive portfolio piece for an AI/LLM Engineer, covering the entire modern AI engineering ecosystem.

🌟 Core Features

  1. 📊 Automated Data Analysis: Upload CSV/Excel files, and the AI will automatically analyze the dataset to extract actionable insights, handle null values, and present statistical summaries.

  2. 💬 Text-to-SQL (Natural Language Querying): Connect to a PostgreSQL database and ask questions in plain English. The AI dynamically writes, safely executes the SQL query, and returns the exact answer.

  3. 📄 Document Q&A with RAG: Upload PDFs or text documents and get highly accurate answers backed by source citations using Retrieval-Augmented Generation (RAG).

  4. 🌐 Full-Stack & Live Deployment: Everything is powered by a robust FastAPI backend, connected to a modern frontend, and deployed live for production use.

🛠️ Why This Project Stands Out?

This platform integrates multiple critical domains into a single cohesive product. It demonstrates expertise in:

  • Data Science: Data cleaning and statistical operations (Pandas, Numpy)
  • Generative AI & LLMs: Prompt engineering, function calling, and context management
  • RAG Architecture: Vector embeddings, chunking, and similarity search
  • Database Engineering: Analytical SQL, PostgreSQL, SQLAlchemy
  • Backend Development: Python, FastAPI, API architecture
  • DevOps & Deployment: Live production deployment

Any recruiter or hiring manager reviewing this project will immediately see a complete, production-ready AI engineering skill set.

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