AI Engineer (Intern) | Software Developer | Student | Building AI and software solutions
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XCamScreen
December 4, 2025 – December 8, 2025
XCamScreen is a fast and privacy-focused desktop recorder for Windows. Record your webcam, screen, or both together in Picture-in-Picture mode with audio. All recordings are processed and saved locally — no internet, no cloud upload, no ads, and no tracking. Ideal for tutorials, gaming videos, presentations, and content creation.
View ProjectCruise-Ship-Management
July 27, 2025 – August 25, 2025
🛳️ Cruise Ship Management System – A feature-rich web application designed for managing onboard operations for cruise voyagers using HTML, CSS, JavaScript, and Firebase. This system enables passengers to order catering and stationery, book amenities (resort-movies, beauty salon, fitness center, party hall), and etc.
View ProjectOperation-Scheduler-For-Hospital-Management
July 26, 2025 – August 25, 2025
🚑 Operation Scheduler for Hospital Management – A dynamic web-based OT scheduling system for hospitals using HTML, CSS, JavaScript, and Firebase. This system streamlines surgical operation scheduling, handles emergency updates, tracks OT activities, and enables efficient management through admin and user interfaces..
View ProjectCodeWhiz-Quiz-App
July 26, 2025 – August 25, 2025
🧠 CodeWhiz(Interactive) Quiz Application – A dynamic and user-friendly web-based quiz built with HTML, CSS, and JavaScript. This project allows users to answer multiple-choice questions, submit their responses, and receive instant feedback with a final score. It uses a modular code structure, dynamic question rendering from a JavaScript questions.
View Projectstego-xor-rgb-encoder
June 23, 2025 – July 14, 2025
A lightweight, educational Python tool that demonstrates how to hide secret text inside RGB images using XOR encryption and ASCII encoding. This project showcases basic steganography principles by embedding encrypted messages directly into pixel color values.
View ProjectMovieTasteFlicks-Movie-Recommendation-Flask
May 4, 2025 – July 2, 2025
This project is a Movie Recommendation System built using Flask and machine learning (KMeans clustering). It helps users find movies similar to ones they already enjoy, based on features like genres, popularity, and user ratings. The app uses unsupervised learning to group similar movies and recommends top-rated titles from the same cluster.
View ProjectMovie-Recommendation-System
May 4, 2025 – July 2, 2025
Movie Recommendation System using Unsupervised Learning A Python-based recommendation engine built with K-Means Clustering that groups movies by genres, ratings, and popularity to suggest similar titles. Developed in a Jupyter Notebook, it demonstrates content-based filtering using real-world movie metadata.
View ProjectInventory-Management-System
February 21, 2025 – July 2, 2025
🚀 Inventory Management System (IMS) is a powerful and lightweight desktop application built with Qt C++, designed to streamline inventory, sales, and stock operations. This Beta release includes features like role-based user access, secure SHA-256 authentication, and real-time stock monitoring, making it suitable for businesses of all sizes.
View ProjectQNotepad
September 23, 2024 – July 3, 2025
📝 QNotepad – Lightweight Qt C++ Text Editor QNotepad is a sleek, minimal, and functional text editor built with Qt and C++, ideal for quick notes or everyday writing tasks. It includes features like syntax-style editing, live character count, customizable themes, printing support, and more — all packed into a lightweight GUI application.
View ProjectInterior_Design_Website
August 4, 2024 – July 2, 2025
🏡 INFRA INTERIORS – Interior Design website INFRA INTERIORS is a clean and responsive website built using HTML, CSS, and JavaScript, tailored for showcasing modern interior design concepts. Ideal for frontend learners or as a portfolio template, it demonstrates key UI/UX principles like layout, interaction, and visual design.
View ProjectCultural Fit Analysis
The candidate has a diverse portfolio of personal projects, including desktop applications, web development, and machine learning. While this shows a broad interest in technology, the majority of projects are personal and do not provide insight into collaborative work environments. The target role is 'Data Scientist', and while there are two relevant projects ('Movie-Recommendation-System' and 'MovieTasteFlicks-Movie-Recommendation-Flask'), the overall project portfolio is heavily skewed towards C++ desktop applications and front-end web development, which are less aligned with a dedicated Data Scientist role. This suggests a potential mismatch in core focus and experience for the target role.
Soft Skills & Operational Fit
The candidate's project descriptions indicate an ability to work on diverse projects, suggesting adaptability. However, without specific work experience or psychometric test results, it is difficult to assess soft skills and operational fit comprehensively.