Computer Science Engineering Student | Artificial Intelligence Enthusiast | Web Developer | Machine Learning Learner
I am a Computer Science Engineering student at Presidency University passionate about Artificial Intelligence, Machine Learning, Web Development and Software Engineering. I have completed internships in Artificial Intelligence and Web Development and have developed several academic and personal projects using Java, Python, HTML, CSS and JavaScript.
RFID Based Smart Shopping Cart and Automatic Billing System at Presidency University Project Expo 2024.
Participated in International Tech Fest "Build With AI".
Smart urban noise pollution traker at Presidency University Project Expo 2025.
Developed an AI-powered conveyor belt monitoring system for hilly terrain that continuously tracks alignment, vibration, belt slip, motor temperature, tension, and load. The platform predicts potential belt dislodgement, generates automated fault diagnostics, and provides real-time alerts through an interactive monitoring dashboard.
Technologies Used: Node.js, Express.js, Socket.IO, JavaScript, HTML, CSS, AI, Machine Learning, Chart.js
Developed an AI-powered case management system that streamlines judicial case tracking, docket classification, and workload analysis. The platform provides real-time case statistics, AI-based case prioritization, and interactive dashboards to improve court administration and case flow efficiency.
Technologies Used: Python, Machine Learning, FastAPI, React.js, Vite, HTML, CSS, JavaScript, Chart.js
Developed an AI-powered contract analysis platform that scans legal agreements to identify risky clauses such as unfair payment terms, penalty traps, intellectual property issues, and one-sided obligations. The system generates plain-language risk summaries and recommendations to help MSMEs make informed decisions.
Technologies Used: Python, FastAPI, AI, NLP, React.js, Vite, HTML, CSS, JavaScript
Built an AI-powered application that analyzes resumes and job descriptions to provide insights on candidate-job fit, skill matching, and recruitment recommendations.
Technologies Used: Python,AI,MLReact js,ViteHtml,CSS
An AI-powered virtual fitting room that enables users to upload their photos, virtually try on outfits, receive personalized fashion recommendations, and visualize different clothing styles in real time using AI.
Technologies Used: React.js, Vite, JavaScript , HTML5, CSS3, Node.js, Express.js, MongoDB
Built an AI-powered application that analyzes The News articles and predicts weather they are real or fake using natural language processing and machine learning techniques.
Technologies Used: Python,Flask,Html,CSS
Developed a responsive mental wellness platform that provides personalized resilience-building resources through videos, guided journals, topic-based learning paths, and age-specific content. The platform promotes emotional well-being with an intuitive interface designed for users across different age groups.
Technologies Used: HTML, CSS, JavaScript, Node.js, Express.js, React.js, Vite
Built an AI-powered application that analyzes source code repositories and generates simplified explanations of project structures, files, and functionalities for developers.
Technologies Used: Python, Generative AI, LLM APIs, Streamlit, GitHub API
Developed an intelligent virtual assistant capable of performing tasks through voice commands such as web searches, application launching, and information retrieval.
Technologies Used: Python, SpeechRecognition, pyttsx3, APIs, Artificial Intelligence
Educational management system designed to manage student records, attendance, academic performance, and course information.
Technologies Used: Java, MySQL, JDBC, OOP Concepts
Parking management solution that helps users identify available parking spaces and efficiently manage vehicle records.
Technologies Used: Java, MySQL, JDBC, OOP Concepts
Mobile application developed to manage patients, appointments, doctors, billing information, and healthcare services efficiently.
Technologies Used: Java, Android Studio, XML, SQLite/Firebase
A productivity application that enables students to organize study schedules, manage tasks, and track academic goals.
Technologies Used: HTML5, CSS3, JavaScript, Local Storage
Modern e-commerce frontend featuring product listings, shopping cart interfaces, and responsive user experience.
Technologies Used: HTML5, CSS3, JavaScript, Flexbox, CSS Grid
Responsive tourism website showcasing famous destinations, culture, and travel information across India.
Technologies Used: HTML5, CSS3, JavaScript
Professional portfolio website developed to showcase projects, achievements, certifications, and technical skills.
Technologies Used: HTML5, CSS3, JavaScript, Font Awesome
Digital resume website highlighting education, technical skills, certifications, and project experience.
Technologies Used: HTML5, CSS3, JavaScript
3D graphical representation of the Taj Mahal demonstrating computer graphics concepts such as rendering, transformations, and object modeling.
Technologies Used: C++, OpenGL, Computer Graphics
Collection of Data Structures and Algorithms solutions covering arrays, strings, linked lists, trees, graphs, and dynamic programming problems.
Technologies Used: Java, Data Structures, Algorithms
Task management application allowing users to create, update, delete, and organize daily activities.
Technologies Used: HTML5, CSS3, JavaScript, Local Storage
Interactive timer application that displays the remaining time for events, deadlines, and activities.
Technologies Used: HTML5, CSS3, JavaScript
Simple calculator application capable of performing arithmetic operations through an intuitive interface.
Technologies Used: HTML5, CSS3, JavaScript
Interactive browser game where users compete against the computer with real-time score tracking.
Technologies Used: HTML5, CSS3, JavaScript
An RFID-based smart shopping cart automatically detects RFID-tagged products, updates the shopping list in real time, calculates the total bill instantly, and provides a faster, cashier-free shopping experience.
Technologies Used: Arduino, RFID Module, LCD Display, Embedded C
Developed an IoT-based system using Raspberry Pi Zero 2 W to monitor environmental noise levels in real time. The system uploads sensor data to the cloud and visualizes noise trends through a web-based dashboard.
Technologies Used: Raspberry Pi Zero 2 W, Python, IoT, Sensors, ThingSpeak
Data Structures & Algorithms • Database Management Systems • Operating Systems • Computer Networks • Software Engineering • Web Technologies • Cloud Computing • Cryptography & Network Security • Compiler Design • Design & Analysis of Algorithms • C Programming • Data Mining • Data Analytics • Computer Graphics • Computer organization • Artificial Intelligence • Cloud data Engineering • Theory of Computation • NoSql DataBase Management Systems • Competitive Programming and Problem Solving • Java Programming • Python Programming • Full Stack Development • Object-Oriented Analysis & Design • Mobile Application Development