AI-Powered Resume Generator

This research paper presents the design, development, and implementation of an AI-powered Resume Generator,

undertaken as a final-year major project by undergraduate engineering students.

The primary aim of the system is to simplify and enhance the resume creation process for job seekers, especially fresh graduates

and early -career professionals.

By leveraging advanced artificial intelligence techniques such as Natural Language Processing (NLP) and machine learning

algorithms, the system automates various critical functions including content generation, grammar and spelling correction,

formatting optimization, and dynamic alignment of user skills with targeted job roles.

The proposed solution addresses common challenges in traditional resume building, such as inconsistent formatting, vague

descriptions, and misalignment withjob requirements.

The architectureof the systemfollowsa modular designapproach, comprising front-end user input modules, back-end NLP-based

processing units, and a data-driven job-skill mapping engine. Technologies used include Python for back-end development,

Transformer-based language models for NLP tasks, and a responsive web interface for user interaction.The project life-cycle

followed a structured software engineering methodology, including requirements analysis, system design, coding, integration,

and rigorous testing.

Extensive validation was performed using real-world user data and job descriptions to evaluate systemaccuracy, relevance of

generated content, and user satisfaction. Results indicate that the systemsignificantly reduces manual effort, improves resume

quality, and enhances a candidate’s chances of being shortlisted.

This paper outlines the motivation behind the project, the technical architecture, detailed implementation strategies, testing

methodologies, and potential future enhancements. The project demonstrates a practical applicationof engineering principles in

AI, software development, and user-centric design, contributing to the growing intersection of technology and career

services.