Food Recommendation System
Developed a web-based food recommendation system using Python and machine learning algorithms to suggest dishes based on user preferences. Integrated MongoDB for storing user data and food details.
Aspiring Full Stack Developer| Python Developer |Pursing BE Computer Science | Attended University of Mumbai
Computer Engineering student with knowledge of web development, currently learning app development and working as an AI intern. Interested in learning new technologies, improving skills, and building real-world AI and software projects.
Instantly
Aug 2025 – Present
Working on an AI-based learning platform, contributing mainly to frontend and backend modules while learning app development. Involved in API integration, GitHub workflows, and full-stack AI project development.
CodSoft
May 2025 – Jun 2025 · Remote
Developed multiple web projects, including a Job Board and Quiz Maker website, using frontend and backend technologies. Focused on responsive design, clean UI, and improving user interactivity.
2022
Bachelor of Computer Engineering, Computer Engineering
Nov 2022 – Jun 2026
7.29 (I-VI)
HSC (Science), Science
Jun 2020 – Mar 2022
55.17%
SSC
Jun 2019 – May 2020
80.04%
Developed a web-based food recommendation system using Python and machine learning algorithms to suggest dishes based on user preferences. Integrated MongoDB for storing user data and food details.
Built an interactive quiz application with dynamic question generation and score tracking using HTML, CSS, JavaScript, and Node.js. Focused on a clean UI and responsive layout.
Created a simple e-commerce website using HTML, CSS, JavaScript, and MongoDB for product management and order storage. Implemented user-friendly navigation and basic CRUD operations.