Sentiment Analysis on Social Media Presence
Created a Sentiment Analyzer using NLP and machine learning, achieving 90% accuracy in classifying sentiments.
I build fast, accessible and maintainable applications with a focus on UX, performance, and clean code. I also leverage AI/ML frameworks to build intelligent systems.
Hello! I'm Prity Kumari, a passionate B.Tech (AI/ML) student and web developer dedicated to building intelligent, user-focused digital experiences. I love blending creativity with technology to develop applications that make a real-world impact.
My interests include AI/ML model development, frontend design, and full-stack web applications. Iβm constantly exploring emerging technologies like Deep Learning, NLP, and Generative AI.
Created a Sentiment Analyzer using NLP and machine learning, achieving 90% accuracy in classifying sentiments.
Developed a real-time waste monitoring system, achieving a 30% increase in collection efficiency.
Developed a responsive Tic-Tac-Toe game with a challenging bot opponent.
MoodScape is an AI-powered web application built with Flask and Python that detects your facial expressions and predicts your mood.
π« Pneumonia Detection Using Python A deep learning project to automatically detect pneumonia from chest X-ray images using Convolutional Neural Networks (CNNs).
A simple mini food website that showcases dishes with images, prices, and a clean, responsive layout. Users can browse the menu and view basic food details. Perfect for small cafΓ©s or beginner web projects.
CGPA: 8.4
CGPA: 6.8
CGPA: 7.22
On-Site
Currently contributing to software development and analysis within the team.
Remote
Boosted sales by 25% through strategic promotions and enhanced customer satisfaction by 30%.
On-Site
Developed a mobile application for automated attendance marking, resulting in a 95% increase in attendance accuracy.