Problem :
Data analysts and business teams spend hours manually cleaning messy CSV files — fixing missing values, removing duplicates, correcting formats, and standardizing columns. This repetitive process slows down analysis and increases the chance of human error.
Solution :
I built an AI-powered data cleaning tool using Python and Streamlit. Users simply upload any CSV file and the tool automatically scans the dataset, detects quality issues, and cleans the data in seconds. Groq AI (LLaMA model) analyzes the dataset and provides intelligent cleaning suggestions — no manual work needed.
Tech Stack :
Python, Pandas, NumPy, Streamlit, Groq AI (LLaMA 3.1)
Results :
Fully deployed live web app on Streamlit Cloud