Hi,

I am Bhavpreet Singh

Full Stack Developer

Hi, I am

Bhavpreet Singh

Full Stack Developer

About ME

I am a recent graduate from NYIT. I have strong expertise in programming languages like Java, Python, and JavaScript, along with hands-on experience in MongoDB, MySQL, and Node.js. I enjoy building dynamic web applications using modern frameworks like React, Express, and Next.js.

Currently, I'm focused on expanding my skills in cloud computing, AI technologies, and building a better stronger foundation. I thrive on solving complex problems and love creating innovative solutions that blend cutting-edge technologies with practical applications. Whether it's developing interactive front-end experiences or optimizing back-end functionality, I'm always excited to learn and grow as a developer.

Projects

Shelves

Integrated Node.js, Next.js, MongoDB, and others, with features like personalized recommendations and seamless book delivery.Our main objective is to offer a convenient platform for accessing physical library books, bypassing the need to visit libraries in person and serving as a learning opportunity for us to explore new technologies hands-on.

Hotel Management System

Developed a Hotel Feedback Portal featuring user authentication, machine learning powered complaint categorization, and PDF report generation for managers.Implemented modular code structure for maintainability and robust error handling, enhancing the overall user experience in the hospitality sector

Messenger

Designed and implemented a secure and feature-rich chat application for robust user authentication, socket programming for real-time communication and an intuitive user interface.Achieved seamless message and file transfer functionality within a client-server architecture.

Shadow Bank

Shadow bank

Developed a Java-based banking system, "Shadow Bank," featuring robust database interactions with MySQL, secure user authentication, and comprehensive management of customer accounts, employee profiles, and approval workflows.

Java

MySQL

Reddit Sentimental Analysis

Conducted sentiment analysis on Reddit data using NLP techniques to gauge public opinion dynamics. Applied TextBlob and VADER for sentiment classification, while implementing extensive data preprocessing.Leveraged pullpush.io API for data retrieval and zero-shot classification for topic labeling.

Traffic Prediction

In the Traffic Prediction Project, I led the analysis of city traffic data using logistic regression, decision tree, and KNN models to predict congestion patterns.This involved preprocessing the data, visualizing trends, and developing models that achieved up to 86.83% accuracy.