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PlacePrep - Smart DSA Learning and Placement Readiness System
Abhishek P. Nachankar, Neha P. Dhuriya, Amisha Jain, Anisha Katkade, Kumkum Laveti, Ishwari Khandwe, Amartya Choubey, Amit Gond, Atharva Dayalwar
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Abstract: PlacePrep is a full-stack web application developed to enhance campus placement preparation for IT students through an integrated learning ecosystem. The platform combines DSA practice, aptitude training, AI-based mock interviews, resume building, and progress analytics into a single system. It features a live coding environment, ATS- compatible resume generation, company-wise preparation tools, leader boards, streak tracking, and performance dashboards. Developed using the MERN stack (MongoDB, Express.js, React, and Node.js), the system ensures scalability and modularity through RESTful APIs and cloud integration. PlacePrep aims to improve placement readiness, streamline preparation, and increase student success rates.
Keywords: Campus Placement Preparation, MERN Stack, Artificial Intelligence, Data Structures and Algorithms, Mock Interviews, Resume Builder, ATS Compatibility, Performance Analytics, Web Application, Placement Readiness.
Keywords: Campus Placement Preparation, MERN Stack, Artificial Intelligence, Data Structures and Algorithms, Mock Interviews, Resume Builder, ATS Compatibility, Performance Analytics, Web Application, Placement Readiness.
How to Cite:
[1] Abhishek P. Nachankar, Neha P. Dhuriya, Amisha Jain, Anisha Katkade, Kumkum Laveti, Ishwari Khandwe, Amartya Choubey, Amit Gond, Atharva Dayalwar, βPlacePrep - Smart DSA Learning and Placement Readiness System,β International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15590
