SkillSync AI - Smart Resume Analyzer

A modern, AI-powered resume analysis system that helps match candidates with job requirements using advanced NLP and domain-specific scoring.

🚀 Live Demo

🌐 Try SkillSync AI Live →

📸 Screenshots

Dashboard

Register Page

Analysis Result Page

History View

🌟 Features

Smart Resume Analysis

• AI-Powered Matching: Uses advanced NLP to understand both resumes and job descriptions
• Domain-Aware Scoring: Considers 25+ industry domains for better matching accuracy
• Experience Level Detection: Automatically detects and matches candidate experience levels
• Comprehensive Skill Detection: Identifies technical, soft, and domain-specific skills
• Smart Recommendations: Provides targeted suggestions for skill improvement

User Features

• Secure Authentication: Full user authentication system
• History Tracking: Save and track analysis results
• Modern UI: Clean, responsive Blazor-based interface
• Cross-Platform: Works on all modern browsers

🛠️ Technology Stack

Frontend (C# / Blazor WebAssembly)

• Language: C# 12
• Framework: .NET 8.0 Blazor WebAssembly
• UI Components: Custom-built modern components
• Styling: CSS with modern animations
• State Management: Built-in Blazor state management

Backend (C# / ASP.NET Core)

• Language: C# 12
• Framework: .NET 8.0 ASP.NET Core
• ORM: Entity Framework Core 8.0
• Database: MySQL with EF Core
• Authentication: JWT-based authentication
• API Documentation: Swagger/OpenAPI

Shared (C#)

• Models: Shared C# class library
• DTOs: Cross-platform data transfer objects
• Validation: Shared validation logic

AI Service (Python)

• Framework: FastAPI
• AI Models:
  • Sentence Transformers (all-MiniLM-L6-v2)
  • spaCy NER (en_core_web_sm)
• Fallback System: RapidFuzz for text matching
• Performance: Caching and optimization for quick results

📊 Architecture

graph TD
    A[Blazor WebAssembly Client] -->|HTTP/REST| B[ASP.NET Core API]
    B -->|Authentication| C[JWT Auth]
    B -->|Data Storage| D[MySQL Database]
    B -->|Resume Analysis| E[Python AI Service]
    E -->|Text Embedding| F[Sentence Transformers]
    E -->|Skill Extraction| G[spaCy NER]
    E -->|Fallback| H[RapidFuzz]

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☁️ Deployment Architecture

🔵 Microsoft Azure

• Frontend: Blazor WebAssembly app deployed on GitHub Pages with Azure CDN
• Backend API: ASP.NET Core API hosted on Azure App Service
• Database: MySQL database on Azure Database for MySQL
• SSL/TLS: Managed certificates for secure HTTPS connections
• Scaling: Auto-scaling enabled based on demand

🤗 Huggingface Spaces

• AI Service: FastAPI-based AI service deployed on Huggingface Spaces
• Models:
  • Sentence Transformers (all-MiniLM-L6-v2) for semantic similarity
  • spaCy NER (en_core_web_sm) for named entity recognition
• GPU Support: Optimized for CPU inference with potential GPU acceleration
• Caching: Model caching for improved response times

🔄 CI/CD Pipeline

• GitHub Actions: Automated deployment pipeline
• Azure DevOps: Continuous integration and deployment
• Environment Management: Separate staging and production environments

🚀 Getting Started

Prerequisites

• .NET 8.0 SDK
• Python 3.10
• MySQL Server

Installation

1. Clone the Repository

   git clone https://github.com/Radib-BK/Skill-Sync-AI.git
   cd SkillSync-AI
   cd ResumeAnalyzer

2. Setup Database

   cd ResumeAnalyzer.Api
   dotnet ef database update

3. Setup AI Service

   cd ../ResumeAnalyzer.AIService
   python install_models.py
   # OR
   python setup.py

4. Run the Services

   In separate terminals:

   # Terminal 1 - API
   cd ResumeAnalyzer.Api
   dotnet run
   
   # Terminal 2 - Client
   cd ResumeAnalyzer.Client
   dotnet run
   
   # Terminal 3 - AI Service
   cd ResumeAnalyzer.AIService
   uvicorn main:app --host 0.0.0.0 --port 5002

🔒 Security Features

• JWT-based authentication
• Secure password hashing
• CORS protection
• Input validation
• Rate limiting
• Error handling

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Sentence Transformers for text embeddings
• spaCy for NER capabilities
• FastAPI for the AI service
• Blazor for the web interface

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