AI Resume Builder - get your resume in sec
An AI-powered platform for creating personalized, ATS-friendly resumes with ease.
Web Development
Design
Deployment
Project By
Suyog Angaj
Technologies
Web Development, React, NextJS
Time Period
5 Weeks
Problems :
1
Time-Consuming Process : Crafting a professional and tailored resume requires extensive time and effort, making the process inefficient for job seekers.
2
Lack of Personalization : Existing platforms fail to provide tools for creating highly personalized, role-specific resumes that align with individual job requirements.
3
Difficulty Meeting ATS Standards : Many resumes get rejected by Applicant Tracking Systems due to poor formatting or lack of optimized keywords.
4
Limited Design Flexibility : Users struggle to balance visual appeal with professionalism due to rigid and generic templates offered by current solutions.
5
Inconsistent File Formats : Exporting resumes to PDF often results in formatting issues, such as misaligned sections and distorted designs, undermining professionalism.
Key Features :
1
AI Content Generation : Automatically generate job-specific descriptions, summaries, and skills while suggesting impactful phrases and ATS-friendly keywords.
2
Customizable Templates : Provide modern, editable templates tailored for different industries with options to personalize colors, fonts, and layouts.
3
Real-Time Preview : Enable live updates to display as users edit their resumes, ensuring all changes are instantly visible.
4
PDF Export : Offer professional, text-selectable PDF exports that maintain ATS compatibility and ensure high-quality formatting.
5
Cloud Save and Accessibility : Allow users to save progress and access resumes anytime through a mobile-friendly, responsive design.
Approaches :
1
Frontend-Centric Architecture
Initially, I considered implementing the entire application using a frontend-only approach with Next.js to simplify development. However, this limited the ability to handle advanced features like user data persistence, AI processing, and notifications effectively.
2
Direct PDF Generation
I explored directly exporting HTML to PDF on the client-side using libraries like jsPDF. While functional, this approach struggled with maintaining advanced styling and layout precision for complex resume designs.
3
Efficient State Management
State management on the frontend was optimized to allow real-time updates to the resume preview, ensuring a smooth and responsive user experience.
4
Customizable Template System
I implemented a centralized template system in the Next.js backend, enabling users to select and customize professionally designed resume templates easily.
5
Hybrid Storage Strategy
To optimize performance and cost, user-generated resumes are stored in MongoDB for structured data, while finalized PDFs are optionally saved to cloud storage (e.g., AWS S3) for easy retrieval and sharing.