ResumeCraft is an AI-powered resume builder designed to simplify and optimize the resume creation process for job seekers. The platform leverages Natural Language Processing (NLP) and AI-driven text generation to craft ATS-friendly, professional resumes within minutes. Users can either select from predefined templates or generate customized resumes based on their profile data. The system integrates Google OAuth, JWT authentication, MongoDB, and rate-limiting mechanisms to ensure secure and efficient access. This paper outlines the development approach, technological framework, AI model integration, and user engagement strategies that make ResumeCraft a valuable tool in the modern job market.
In today's competitive job market, a well-structured resume is critical for standing out among applicants. However, many job seekers struggle with content optimization, formatting, and keyword alignment for Applicant Tracking Systems (ATS). ResumeCraft addresses this challenge by providing an AI-driven solution that analyzes user profiles and generates professional resumes tailored to industry standards.
Key motivations behind ResumeCraft include:
This paper describes the design, methodology, and implementation of ResumeCraft, as well as its potential for future enhancements, such as AI-driven cover letters and resume analytics.
ResumeCraft follows a full-stack web application architecture with a React.js frontend and Node.js/Express.js backend, connected to a MongoDB Atlas database.
To maintain security and ensure a smooth user experience, ResumeCraft includes:
1️⃣ User Profile Data Collection: Users input work experience, skills, summary, and job role.
2️⃣ AI Content Optimization: OpenAI API refines, structures, and enhances readability.
3️⃣ Customization Options: Users adjust layout, fonts, and colors.
4️⃣ PDF Generation & Download: Final resumes are exported in professional-grade formats.
ResumeCraft was deployed for beta testing, during which users provided feedback on:
A controlled experiment was conducted to test AI-generated resumes vs. user-written resumes:
Results showed AI-optimized resumes performed better in terms of clarity, keyword optimization, and conciseness.
| Metric | Result |
|---|---|
| Resume Generation Time | < 30 seconds |
| User Engagement Rate | 75% complete at least one resume |
| Guest Mode Usage | 35% explore templates before signing up |
| AI Resume Acceptance (ATS-friendly) | 85% success rate in job application systems |
✅ 95% of users found AI-generated resumes useful and well-structured.
✅ 70% of users preferred AI content suggestions over manual writing.
✅ 80% requested AI-driven cover letter generation as the next feature.
ResumeCraft leverages AI, NLP, and secure authentication to provide an automated resume-building solution. The platform successfully simplifies the resume-writing process, enhances ATS optimization, and improves user engagement.
Future Enhancements:
By continuously improving AI personalization and user experience, ResumeCraft aims to redefine the resume-building process, helping job seekers land interviews faster and with less effort.
🔗 Try it now: resumecraft.thomastepi.com
🔗 GitHub: github.com/thomastepi/resume-craft
📌 Contact:
🔗 Portfolio: www.thomastepi.com
✉️ Email: contact@thomastepi.com
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