Placepulse Intelligence
Year: 2026
Type: article
Abstract: Campus placement management and recruitment analytics represent critical operational pillars for higher technical education institutions. Across autonomous engineering colleges, tracking the multi-stage recruitment lifecycle of hundreds of students across multiple engineering departments—including Computer Science and Engineering (CSE), Information Technology (IT), Electronics and Communication Engineering (ECE), Electrical and Electronics Engineering (EEE), Mechanical Engineering (MECH), and Civil Engineering (CIVIL)—is traditionally burdened by fragmented spreadsheets, siloed departmental registries, manual computational errors, and delayed reporting mechanisms. Crucial metrics such as unique placed student ratios, departmental conversion percentages, compensation salary tier distributions (Dream, Super Dream, and Mass recruiter offers), and experiential internship stipends often lack real-time synchronization, hindering data-driven institutional decision making and National Board of Accreditation (NBA) / National Institutional Ranking Framework (NIRF) reporting. To solve this systemic institutional challenge, this project presents the complete design, architectural modelling, and functional implementation of an enterprise-grade Place-pulse intelligence. Developed as an integrated three-tier full-stack system, the platform combines a modern presentation layer built with React 18 Single Page Application (SPA), TypeScript, Tailwind CSS, and Framer Motion, supported by a robust, asynchronous application service layer implemented in Node.js and Express.js, and an embedded, ACID-compliant SQLite3 relational persistence engine.
Language: English
Subfield: Software
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225630508
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