CandidAI Resume Parser
Personal Project: CandidAI
An AI-powered app that analyzes job applications and provides personalized summaries for recruiters.
Components:
- Resume Parser
- Candidate Ranking System
- Summarization Engine
- Job Recommendation System
Tools: Django, NLTK/Spacy, LLM, Pydantic
Resume Parser
A serverless AI-powered resume parsing solution that leverages AWS services and OpenAI API to automatically extract and structure information from resumes.
🏗️ Architecture
Frontend
HTML5, TailwindCSS, AWS SDK
Backend
- AWS Lambda (Python)
- Storage: Amazon S3 with Transfer Acceleration for fast upload/download
- API: Amazon API Gateway (RESTful)
Lambda Function Workflow
Results
The CandidAI Resume Parser demonstrates high accuracy and efficiency in processing job applications. Key highlights include:
- High Availability: Leveraging AWS services, the application is designed for high availability, ensuring that it remains operational and accessible to users at all times.
- Low Latency Response: With the implementation of AWS Lambda and API Gateway, the app provides low-latency responses, allowing recruiters to receive insights in real-time.
- High Scalability: The architecture is built to scale seamlessly with demand, utilizing AWS services such as S3 Transfer Acceleration for fast uploads and downloads, and CloudFront as a Content Delivery Network (CDN) to enhance performance globally.
- Cost-Effectiveness: By utilizing serverless architecture, the application minimizes operational costs, allowing for efficient resource management and billing based on actual usage.
- User-Friendly Interface: The frontend is designed with user experience in mind, providing a simple interface to easily sumbit and process resumes.
Project Information
- Category: AI & Cloud
- Client: Self-initiated
- Project Date: October 2024
- Project URL: For more details about this project, please visit this GitHub repository: GitHub Repository