Easily browse your gmail inbox or archive offline

🌟 Fraud Detection in Application 🌟 Through Isolation Forest and K-Means Clustering, the project detects suspicious patterns like inconsistent income, duplicate entries, and unrealistic employment data. This end-to-end workflow transforms raw data into actionable fraud insights — enhancing trust and accuracy.

Spotify playlist data exporter (OAuth + batching + WebAPI)

📥 Access your Gmail messages offline with MailBreak, a simple Streamlit app that uses Google Takeout data for quick local browsing of archived emails.

This repository offers comprehensive projects on business analytics using Python, including big data analysis, data cleaning, importing/exporting, integration, quality assurance, time series analysis, EDA with Tableau, forecasting, regression, and sentiment analysis. Ideal for both beginners and experts.

🔍 Detect fraud in application data using machine learning and data visualization to uncover anomalies and enhance digital integrity.