This project focuses on detecting and localizing copy-move forgery in digital images using Python. Deep learning techniques are applied to identify duplicated regions within an image. The model highlights tampered areas, helping verify the image's authenticity.

Unofficial class for scrap and recollect info from Filmmaffinity

Machine learning project using the Boston Housing dataset to predict median home values. Includes EDA, feature engineering, and linear regression modeling to uncover key drivers of price variation and provide data‑driven insights.

BioCADDIE Harvester project using GitHub YAML and Markdown

This dataset explores the adoption and usage patterns of AI tools among Indian college students in 2025. It includes information on demographics (such as gender, age, and course), tools commonly used (e.g., ChatGPT, Notion AI), frequency of use, and purpose (e.g., studying, coding, writing). Visualizations like pie charts are used to understand usa