kajasanjeevkumar's repositories
DataBase_editor
A website which uses SQL database to can add,display,edit and delete user data with security.
WanderLust-Travel
Discover, share, and connect on our tourism platform! Browse destinations, add places, and read reviews with ease. Sign up, log in securely, and be part of our vibrant travel community. Built using MVC and databases for reliability and scalability.
Waste-Segragator
Designed and implemented an IoT solution leveraging Arduino, moisture sensors, and motors to automate waste segregation by analyzing moisture levels. This project optimizes waste management processes by efficiently sorting dry and wet wastes, contributing to environmental sustainability and resource conservation.
Weather-App
Developed and implemented a dynamic weather forecasting application leveraging APIs to provide users with real-time weather updates for any location worldwide.
Basic-Quora-Ejs-Old
An application that enables a user to post,edit,delete posts or any kind of queries.
EduSity
Developed and deployed EduSity, a responsive college website using React JS. The platform offers intuitive navigation through home, program, about, testimonials, and contact sections, providing a user-friendly experience for students and faculty. Implemented features like smooth scrolling, dynamic sliders, and a working contact form.
Facial-Attendence
AUTOMATED ATTENDANCE MONITORING SYSTEM USING ML
Query-Space-2
An application that enables a user to post,edit,delete posts or any kind of queries and get replies from qualified teachers.
Spotify-Clone
A faithful reproduction of Spotify's interface, offering seamless navigation and dynamic content display. This project replicates the original's layout and functionality, ensuring an immersive user experience."
To-Do-List
Introducing our React-powered Todo List app: streamline tasks, stay organized, and boost productivity with ease. With real-time updates, customizable categories, and responsive design, managing your to-do list has never been simpler. Get started today!
Credit-card-fraud-detection-using-ML
In this project, we use machine learning algorithms to detect fraudulent transactions from a dataset of nearly 28,500 credit card transactions. We implement Local Outlier Factor (LOF) and Isolation Forest algorithms, and evaluate their performance using precision, recall, and F1-scores.
Basic-Quora-Ejs-
About An application that enables a user to post,edit,delete posts or any kind of queries and get replies from qualified teachers.