Name: SAHITHYA KENGAIGAR
Type: User
Company: University Of Illinois, Springfield
Bio: Actively looking for full time roles May 2024 | Software Analyst Intern @TRS,IL | Grad student at UIS | React JS | Node JS | Express JS | MongoDB | AWS | Python
Location: Chicago
Blog: https://sahithya-kengaigar.github.io/Sahithya_kengaigar_portfolio/
SAHITHYA KENGAIGAR's Projects
A Python AI chatbot with personality that runs in the terminal using the OpenAI GPT-3.5-turbo model
Simple javascript project || analog clock
Anomaly event detection using machine learning algorithms automatically identifies unusual patterns in data. This process involves data collection, preprocessing, model training, anomaly detection, and alerting. It helps organizations identify threats, improve efficiency, and reduce the risk of loss and damage.
"An interactive drum kit project for creating musical beats and rhythms."
Explore MERN stack eCommerce platform! Features include user authentication, product management, shopping cart, checkout, and order tracking. Built with React, Node.js, MongoDB. Clone, install dependencies, and start servers to run.
Config files for my GitHub profile.
Developed apersonal portfolio website to showcase my projects and resume. Implementedresponsive design principles to ensure compatibility across various devices and browsers
Developed a school proctor web application that helps manage student results and attendance
Simple Online Shopping cart Prototype
Text summarization is a critical Natural Language Processing (NLP) task with applications ranging from information retrieval to content generation. Leveraging Large Language Models (LLMs) has shown remarkable promise in enhancing summarization techniques
This is a simple todo list application built using React.js. It allows users to create, update, delete, and mark tasks as completed, providing a straightforward interface for managing tasks efficiently.
It's prototype of online retail chain system.