🧹 Automated Data Cleaning

A hackathon project that provides a simple pipeline for cleaning messy CSV datasets.
Users can upload their data, and our system will automatically:

• 🔍 Detect and fix typos
• 🏷️ Normalize inconsistent labels
• 🧩 Handle missing values
• 📥 Generate a cleaned CSV ready for use

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🚀 Tech Stack

🔹 Backend

• Flask (Python) – REST API framework
• Pandas – Data processing & cleaning

🔹 Frontend

• HTML, CSS, JavaScript – Simple user interface
• Fetch API – Communicating with backend APIs

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📌 Key Features

• ✅ Fully automated cleaning pipeline – Upload and get cleaned data instantly
• ✅ CSV upload support – Works directly with user-provided datasets
• ✅ Lightweight frontend – Simple UI built with HTML, CSS, and JavaScript
• ✅ Robust backend – Powered by Flask & Pandas for reliable data processing

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📸 Screenshots

Hero Page

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Configuration Options

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Cleaning Process

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Cleaning Summary

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🛠️ Contributions

• Bilal Rukundi – Team Lead, Backend architecture & Flask APIs
• Mit Mer – Frontend (HTML, CSS, JS)
• Mohit Shukla – Presentation and ML architecture
• Vedant Pardeshi – Documentation & Testing

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