RIDIMA AGARWAL

RIDIMA AGARWAL

Master of Computer Applications Student

Shāhābād, IndiaSoftware Development
17skills
6education
7credentials

About

Currently pursuing a Master of Computer Applications with a focus on full-stack development and problem-solving. Experienced through academic projects using JavaScript, React.js, Node.js, Python, Flask, and MySQL.

Education

Ajay Kumar Garg Engineering College

Master of Computer Applications (MCA), Computer Applications

2025–2027

Currently pursuing MCA; current SGPA: 8.3. Focus on full-stack development and problem-solving.

Teerthanker Mahaveer University

Bachelor of Computer Applications (BCA), Computer Applications

2022–2025

CGPA: 9.31. Active participation in cultural events and anchoring programs.

Dayawati Modi Academy

HSC, CBSE Board

2021–2022

82.2%

Dayawati Modi Academy

SSC, CBSE Board

2019–2020

86.2%

AJAY KUMAR GARG ENGINEERING COLLEGE, GHAZIABAD

Master of Computer Applications, computer application

Sep 2025 - May 2027

Teerthanker Mahaveer University, Moradabad

Bachelor of Computer Application, Computer application

Sep 2022 - Jun 2025

Skills

JavaPythonCJavaScriptHTML5CSS3React.jsBootstrapNode.jsExpress.jsFlaskMySQLData Structures and AlgorithmsObject-Oriented ProgrammingC (Programming Language)Cascading Style Sheets (CSS)Python (Programming Language)

Projects

TravelMate – Full Stack Travel Partner Finder

Developed a responsive travel networking platform using React.js, Node.js, Express.js, and MySQL. Features include user authentication, profile management, trip creation and discovery, travel partner matching, real-time chat, call functionality, notifications, and AI-powered itinerary generation.

AI-Based Real-Time Speed Alert & Driver Drowsiness Detection System

Developed an AI-powered driver safety and accident prevention system using Python, Flask, and MySQL. Implemented real-time overspeed detection, driver drowsiness monitoring, AI voice alerts, WhatsApp notifications, live location tracking, trip summaries, driver safety ratings, and alert analytics dashboards.

AI-Based Real-Time Speed Alert & Driver Drowsiness Detection System for Accident Prevention:

Developed an AI-based driver safety monitoring system for accident prevention using Python, Flask, JavaScript, and MySQL. Implemented real-time overspeed and driver drowsiness detec- tion using computer vision, integrated WhatsApp and AI voice alerts, enabled live location tracking, and built an admin dashboard for monitoring trip history, driver safety ratings, and alert analytics.

Volunteering

Event Anchor

Teerthanker Mahaveer University, Moradabad