Easily browse your gmail inbox or archive offline
Spotify playlist data exporter (OAuth + batching + WebAPI)
🌟 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.
Offline desktop tool for auditing ITSM / ServiceNow ticket exports.
📥 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.
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