Project Overview
ResumeAnalyzer AI is a full-stack AI-powered platform that helps candidates prepare for interviews by analyzing resumes and job descriptions. The application generates personalized interview reports, including match scores, technical and behavioral questions, skill gap analysis, and a structured preparation roadmap.
Technical Stack
Frontend
React, Vite, Axios, Sass
Backend
Node.js, Express.js
Database
MongoDB with Mongoose
AI Engine
Gemini AI for report generation
Authentication
JWT and secure session handling
Deployment
Docker, AWS ECS, ECR, ALB and Vercel
Key Features
1. Resume & Job Analysis
- Upload resumes and provide target job descriptions
- Extract candidate skills and experience automatically
- Compare profiles against job requirements
2. AI-Powered Interview Report
- Generate technical interview questions with answers
- Create behavioral and situational interview questions
- Provide interviewer intent and evaluation criteria
3. Skill Gap Analysis & Study Plan
- Identify missing or weak skills
- Classify gaps by severity level
- Generate personalized day-wise preparation plans
Technical Challenges & Solutions
1. AI Prompt Engineering & Structured Output
Challenge:
Generating consistent and structured interview reports from AI responses while handling different resume formats and job descriptions.
Solution:
Designed reusable prompt templates and implemented validation logic to ensure reliable AI-generated responses and report formatting.
2. Scalable Full-Stack Architecture
Challenge:
Managing resume uploads, AI processing, authentication, and report generation within a scalable architecture.
Solution:
Implemented a modular React and Express architecture, secured APIs using JWT authentication, and deployed containerized services using Docker and AWS ECS.
Key Learnings
AI Integration
- Prompt engineering
- Structured AI outputs
- Resume and job description analysis
- Structured AI response handling
Full-Stack Development
- Building secure REST APIs
- JWT authentication
- MongoDB schema design
- Scalable application architecture
Cloud & DevOps
- Docker containerization
- AWS ECS deployment
- Amazon ECR integration
- Production-ready deployments
Impact & Results
- Generated personalized interview reports using AI
- Automated resume and job description analysis
- Built a secure and scalable full-stack architecture
- Deployed production-ready services using Docker and AWS
Future Improvements
- Support multiple AI models
- Real-time interview simulation
- Resume version comparison
- Advanced analytics and progress tracking