The Placement Cell Application is a Full Stack Application built using MongoDB, ExpressJS, NodeJS, EJS, Express Partials-Layouts, GulpJS, Vanilla JS & implements RestFul CRUD APIs along with CRUD Operations. This project is basically used for the purpose of assigning students to the interview slots of the incoming companies for the visit, at the backend for the employees to work. It manages both student & interview information along with the company visits. This website is only restricted for the use of employees. This website is completely Responsive across all the Devices.

🚟 A robust ✈ backend service 🚀 managing a 🛼 traditional 🚁 clothing 🛸 eCommerce 🚠 platform 🚛 focused on 🚋 Panjabi and 🚃 ethnic wear Built 🚞 with scalability 🚤 performance ⛱ and security in ⛴ mind to power 🚝 seamless 🕌 shopping 🏪 experiences 🏨 User authentication 🚢 role based 📙 authorization 📘 placement 📗 tracking 📔 generation 📕

A Flask web app using mysql-connector-python to connect frontend with a MySQL backend. Supports order placement, data storage, and retrieval, enabling Zomato-style workflows. Demonstrates full-stack integration where frontend sends data, Flask processes it, and MySQL powers storage and analysis.

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Backend for the Placement Cell's Platform

The Placement Cell interface is a web application that provides various features for managing student placements and interviews.

E-Student Cell is a backend system built for college student cell management. Uses FastAPI and PostgreSQL to manage student profiles, academics, placement, documents and more. Project API : https://estudent-cell.onrender.com/

A backend service for managing food order processing — including order placement, tracking, delivery assignment, and overall workflow automation.

A real-time restaurant order management system with a Spring Boot REST API backend and React frontend. Supports order placement, chef kitchen view, and a live order dashboard with WebSocket integration.

This is backend Repo for CDC Placement Website. Developed with Django

Factwise Placement Exam for Backend Role

This repository presents a complete RTL-to-GDSII ASIC implementation of the PicoRV32 RISC-V processor using the Skywater 130nm (Sky130) open-source PDK. The project demonstrates an industry-standard VLSI backend flow using Cadence EDA tools, covering synthesis, placement, routing, verification, and GDSII generation.

A full-stack web application that predicts student placement probability using machine learning. The application consists of a Flask-based REST API backend and a Next.js frontend.

PlacedAI is an AI-powered placement platform for Indian students. It offers mock AI interviews, ATS resume scoring, resume builder, job recommendations, progress insights, premium upgrade system, and an admin dashboard—built with modern UI, animations, and a scalable backend.

CB Placements web portal for jobs and internships (Backend)

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Training and placement Project built on Netbeans platform using mysql database management system as backend and java swing for front end. It can handle details of Students,Training and placement officers of various departments,Companies visiting the college and the schedule those companies will follow. All details can be updated through the front end and new users can be added any time. Students can check which Companies are appearing for their placement and IF they fulfill the criteria mentioned in the company's schedule,they can apply to appear for the interview.It also holds details of alumnis, where they have been placed, in what year and the package they were offered.

This repository contains solutions to the Full Stack placement assessment. The test consisted of two tasks: a frontend application built with React (Vite) and a backend API built with Express.js.

The Campus Recruitment Management System is an all-in-one desktop application designed to streamline the placement process in academic institutions. Built using Python with a Tkinter GUI and MySQL as the backend, it provides dedicated dashboards for students, recruiters, and administrators.

Placementor: A software application for managing college placements online

The College Placement portal (System) project is intended to improve and streamline college placements by bringing all essential features into one platform.

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A complete backend API for a food delivery platform (like Swiggy) built with Node.js, Express.js, and SQLite. It supports user accounts, restaurant listings, menu management, cart, order placement, delivery tracking, payments, reviews, and more.

This platform connects placement faculty, students, and alumni to streamline job placements. It addresses the communication gap, especially for alumni-shared opportunities. Built with HTML, CSS, Bootstrap, and JavaScript (frontend) and Python/Flask (backend), it facilitates direct job notifications to students, improving placement outcomes.

Production-ready Spring Boot backend for food delivery: order placement, tracking, async queue processing, MySQL persistence, validation, and clean architecture.

A professional full-stack placement management system with C++ backend logic (Merge Sort, Binary Search, Priority Queue) and Flask frontend.

Placement Nexus is an ongoing MERN stack-based project streamlining college hiring. It connects students, recruiters, and colleges for efficient recruitment. Stay tuned for major frontend and backend enhancements.

This is a Sprint Boot project which has HTML, CSS and JS properties as frontend and MySQL as backend. This project helps for colleges for placement and training of students

This project is a restaurant chatbot developed using Dialogflow, which helps customers with reservations, menu navigation, order placement, and customer support. It is a web-based system with Python (backend) and MySQL (database) integration.

ZoshFood is a full-stack online food delivery platform built with Java (Spring Boot) for the backend and React for the frontend. The application provides seamless user experiences for both customers and restaurant owners, including secure authentication, menu management, order placement, and payment processing.