AI-powered reading assistant that summarizes, explains, and saves text highlights directly to Notion. Enhance your reading comprehension instantly.

A one-stop platform offering automated brand identity creation—name, logo, banners, taglines, and virtual try-ons—Catered to bring startup ideas to life.

Built a custom eye detection and iris segmentation model for secure user authentication using YOLOv8 and advanced similarity metrics.

Developed a smart ID masking tool using YOLO and Flask for accurate sensitive data detection and customizable masking.

A dynamic platform featuring property price prediction, a personalized recommendation system, and an interactive analysis dashboard with insightful graphs. Built to assist users in making data-driven real estate decisions seamlessly.

Developed a Chrome extension that uses AI to analyze and summarize website content in real-time. Built with a Flask backend and NLP libraries, the extension offers an interactive chat interface where users can ask questions about any webpage's content.

Created an interactive dashboard analyzing trends, vehicle performance, and economic impact on sales data.

Designed a Telegram bot leveraging NLP and OCR to assist students with academic queries and automated solutions.

Conducted end-to-end analysis of medical insurance costs, leveraging data wrangling, EDA, and advanced regression techniques to build a high-accuracy predictive model (R² = 0.84) using Python and Scikit-learn

The Flight Delay Time Statistics Dashboard is a data visualization application built using Python, Pandas, and Dash. It provides an interactive dashboard to analyze and visualize flight delay statistics based on various factors such as airline carrier, weather conditions, National Airspace System (NAS) delays, security delays, and late aircraft arrivals.

Developed a Graduate Admission Prediction System using PySpark ML that analyzes candidates' profiles to predict their chances of admission.

Built a Diabetes Prediction System using PySpark's distributed computing framework. Created a complete ML pipeline from data preprocessing to model deployment, focusing on early detection of diabetes risk through patient health indicators. The system leverages PySpark ML for efficient processing of large-scale health data, making it practical for real-world healthcare applications