Featuring projects that exemplify technical precision and high standards of software engineering.
An advanced AI system that enhances data querying and visualizing by using machine learning and natural language processing to interpret and respond to complex queries, improving data retrieval efficiency and accuracy.
This project focused on performing sentiment analysis on the Amazon Fine Food Reviews dataset. The goal is to analyze customer reviews to determine their sentiment, whether positive or negative, and to gain insights into customer opinions to improve product offerings.
This project analyzes Diwali sales data to enhance customer experience and boost sales. By cleaning and exploring the data using pandas, matplotlib, and seaborn, we identify key trends, potential customer demographics, and popular product categories to improve inventory planning.
The Blockchain-Based File Sharing System enables secure, decentralized peer-to-peer file sharing by encrypting files with AES, storing them on IPFS, and maintaining file hashes on a blockchain. A socket-programmed network ensures only authorized users can access the blockchain, ensuring data integrity and privacy.
This project analyzes the 2024 Lok Sabha election results to gain insights into party and candidate performance. Key aspects include victory margins, seat distribution, and vote counts for prominent figures, offering a comprehensive overview of the election outcomes and highlighting important trends.
A deep learning project aimed at detecting pneumonia from medical images, utilizing convolutional neural networks to achieve high accuracy in identifying the disease from chest X-rays.