🚀 HireFlow AI

AI-Powered Career Intelligence Platform for Freshers & Entry-Level Engineers

Features • Architecture • Installation • Demo • Documentation

📋 Project Overview

HireFlow AI is an intelligent career platform that leverages artificial intelligence to help freshers and entry-level software engineers navigate their job search journey. The platform provides comprehensive tools for resume analysis, job matching, skill gap identification, career coaching, and interview preparation.

🎯 Problem Statement

Fresh graduates and entry-level developers face significant challenges:

Resume Optimization: Difficulty tailoring resumes to specific job requirements
Skill Gap Analysis: Uncertainty about which skills to prioritize for target roles
Job Discovery: Overwhelming number of job platforms with inconsistent information
Career Guidance: Lack of personalized career advice and interview preparation
Application Tracking: Difficulty managing multiple job applications efficiently

💡 Solution

HireFlow AI addresses these challenges through:

AI-Powered Resume Parsing: Extract and analyze resume data using Google Gemini API
Intelligent Job Matching: Match resumes against job descriptions with weighted scoring
Skill Gap Analysis: Identify missing skills with learning recommendations
Career Coaching: AI-driven personalized career guidance
Job Aggregation: Scrape jobs from multiple platforms (LinkedIn, Internshala, Naukri, etc.)
Application Tracking: Manage job applications with status tracking

✨ Key Features

📄 Resume Intelligence

Smart Parsing: Extract structured data from PDF resumes using AI
ATS Optimization: Improve resume compatibility with applicant tracking systems
Skill Extraction: Automatically identify and categorize technical and soft skills
Resume Scoring: Get actionable feedback on resume quality

🎯 Job Matching Engine

Intelligent Matching: Compare resume skills against job requirements
Weighted Scoring: Priority-based skill matching (High/Medium/Low)
Category Analysis: Break down matches by skill categories (Frontend, Backend, DevOps, etc.)
Gap Analysis: Identify missing skills with learning recommendations

📊 Job Discovery

Multi-Platform Aggregation: Scrape jobs from LinkedIn, Internshala, Naukri, Glassdoor, Wellfound
Smart Filtering: Filter by location, salary, experience, work mode
Deduplication: Remove duplicate job postings automatically
Real-time Updates: Fresh job data with regular scraping

🧠 Career Coaching

AI Career Assistant: Get personalized career advice and guidance
Interactive Chat: AI-powered career Q&A interface
Career Fit Analysis: Match profile against various career paths
Interview Preparation: Generate role-specific interview questions

📈 Analytics Dashboard

Application Tracking: Monitor job application status and progress
Skill Analytics: Visualize skill distribution and growth
Learning Roadmaps: Personalized learning plans with milestones
Performance Metrics: Track career readiness scores

🔧 Additional Features

Application Workflow: End-to-end application management
Alert System: Notifications for new jobs and application updates
Export Functionality: Generate reports and summaries
Responsive Design: Clean, intuitive user interface

🏗️ System Architecture

graph TB
    A[User Interface - Streamlit] --> B[API Layer - FastAPI]
    A --> C[Database - SQLite]
    B --> D[Service Layer]
    D --> E[AI Agents]
    D --> F[Job Services]
    D --> G[Matcher Engine]
    E --> H[Gemini API]
    F --> I[Job Scrapers]
    I --> J[External Job Platforms]
    G --> K[Skill Categorizer]
    G --> L[Ranking Engine]
    C --> M[ORM - SQLAlchemy]

Component Overview

Component	Technology	Purpose
Frontend	Streamlit	Interactive web interface
Backend API	FastAPI	RESTful API endpoints
Database	SQLite + SQLAlchemy	Data persistence and ORM
AI Engine	Google Gemini API	Resume parsing and career coaching
Job Scraping	Selenium + BeautifulSoup	Multi-platform job aggregation
Matching Engine	Custom Algorithm	Weighted skill matching
Visualization	Plotly	Interactive charts and graphs

🛠️ Technology Stack

Core Technologies

Python 3.12: Modern Python with type hints and async support
Streamlit 1.32+: Rapid web application development
FastAPI: High-performance API framework
SQLAlchemy 2.0: Modern Python SQL toolkit and ORM

AI & Machine Learning

Google Gemini API: Advanced AI for resume parsing and coaching
FuzzyWuzzy/RapidFuzz: String matching and similarity scoring
Custom Matching Algorithm: Weighted skill matching with priority levels

Data Processing

Pandas: Data manipulation and analysis
PyMuPDF: PDF parsing for resume extraction
Pydantic: Data validation and settings management

Web Scraping

Selenium: Browser automation for dynamic content
BeautifulSoup4: HTML parsing and data extraction
Requests: HTTP library for web scraping

Visualization

Plotly: Interactive charts and graphs
Streamlit Components: Custom UI components

Development Tools

python-dotenv: Environment variable management
Logging: Comprehensive logging system
Type Hints: Full type annotation coverage

📦 Installation

Prerequisites

Python 3.12 or higher
pip (Python package manager)
Google Gemini API Key

Step 1: Clone the Repository

git clone https://github.com/Jayesh01323/HireFlow.git
cd HireFlow

Step 2: Create Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

Step 3: Install Dependencies

pip install -r requirements.txt

Step 4: Configure Environment Variables

cp .env.example .env

Edit .env and add your API key:

GEMINI_API_KEY=your_gemini_api_key_here
DATABASE_URL=sqlite:///data/hireflow.db

Step 5: Initialize Database

python -c "from src.database import init_db; init_db()"

Step 6: Run the Application

streamlit run app.py

The application will be available at http://localhost:8501

🚀 Usage Guide

1. Upload and Parse Resume

Navigate to Resume Parser page
Upload your PDF resume
AI will extract and structure your data
Review parsed information and skills

2. Discover Jobs

Go to Job Discovery page
Search for jobs by title, location, or skills
Apply filters (remote, salary, experience)
Save interesting jobs to your list

3. Match Your Resume to Jobs

Visit Job Matcher page
Select your parsed resume
Paste job description
Get detailed match analysis with skill gaps

4. Get Career Guidance

Use Career Assistant for personalized advice
Try interactive AI chat for career Q&A
Check Career Fit for role compatibility

5. Track Applications

Use Application Tracker to manage applications
Update status (Saved, Applied, Interview, Offer, Rejected)
Add notes and follow-up reminders

6. View Analytics

Check Analytics Dashboard for insights
Monitor skill distribution and growth
Track application success rates

📸 Screenshots

Main Dashboard

Central hub for navigating all features

Resume Parser

AI-powered resume extraction and analysis

Job Matcher

Intelligent skill matching with gap analysis

Analytics Dashboard

Comprehensive career analytics and insights

📸 Note: Screenshots will be added in Phase 6. For now, placeholders are shown.

📁 Project Structure

hireflow-ai/
├── app.py                          # Main Streamlit entry point
├── requirements.txt                # Python dependencies
├── .env.example                    # Environment variable template
├── .gitignore                      # Git ignore rules
├── LICENSE                         # MIT License
├── README.md                       # This file
├── Dockerfile                      # Container build
├── docker-compose.yml              # Container orchestration
│
├── data/                           # Database and uploads
│   └── .gitkeep                    # Ensure directory exists
│
├── docs/                           # Documentation
│   ├── architecture.md             # System architecture
│   ├── installation.md             # Installation guide
│   ├── api-reference.md            # API documentation
│   ├── user-guide.md               # User guide
│   ├── developer-guide.md          # Developer guide
│   ├── roadmap.md                  # Project roadmap
│   ├── deployment/                 # Deployment guides
│   │   ├── railway.md
│   │   ├── render.md
│   │   └── streamlit.md
│   ├── audits/                     # Audit reports
│   │   ├── AUDIT_REPORT.md
│   │   └── PRODUCT_AUDIT_REPORT.md
│   ├── project/                    # Project management docs
│   │   ├── CHANGELOG.md
│   │   ├── VERSIONING.md
│   │   ├── RELEASE_NOTES.md
│   │   ├── elevator-pitch.md
│   │   ├── linkedin-content.md
│   │   └── resume-projects.md
│   ├── security/                   # Security documentation
│   │   └── SECURITY.md
│   └── contributing/               # Community guidelines
│       ├── CONTRIBUTING.md
│       └── CODE_OF_CONDUCT.md
│
├── pages/                         # Streamlit multi-page modules
│   ├── Resume_Parser.py
│   ├── Job_Matcher.py
│   ├── Job_Discovery.py
│   ├── Skill_Gap.py
│   ├── Career_Assistant.py
│   ├── Application_Tracker.py
│   ├── Analytics_Dashboard.py
│   └── Learning_Dashboard.py
│
├── src/                           # Core application logic
│   ├── agents/                    # AI agents
│   ├── ai/                        # AI integration
│   ├── api/                       # API endpoints
│   ├── database/                  # Database layer
│   ├── jobs/                      # Job processing
│   ├── services/                  # Business logic
│   ├── utils/                     # Utilities
│   ├── database.py
│   ├── matcher.py
│   ├── parser.py
│   ├── gemini.py
│   └── utils.py
│
├── tests/                         # Test suite
│   ├── test_job_connectors.py
│   ├── test_phase4_services.py
│   ├── test_job_discovery_engine.py
│   ├── debug_job_discovery.py
│   └── validation_test_matcher.py
│
├── reports/                       # Generated reports
│   └── validation_report.json
│
└── resume-analyzer/               # Frontend app (Next.js)
    ├── .gitignore
    ├── package.json
    ├── next.config.js
    └── src/

🔌 API Overview

REST API Endpoints

Jobs API

GET /api/jobs - List all jobs with filters
GET /api/jobs/{id} - Get job details
POST /api/jobs/search - Search jobs
GET /api/jobs/sources - List job sources

Resume API

POST /api/resume/upload - Upload resume
GET /api/resume/{id} - Get resume details
POST /api/resume/parse - Parse resume text

Alerts API

GET /api/alerts - Get user alerts
POST /api/alerts - Create alert
PUT /api/alerts/{id}/read - Mark as read

Tracker API

GET /api/applications - List applications
POST /api/applications - Create application
PUT /api/applications/{id} - Update application status

API Documentation

Detailed API documentation is available in docs/api-reference.md

🗺️ Future Roadmap

Version 1.1 (Q3 2026)

User authentication and authorization
Email notifications for job alerts
Export to PDF/Excel functionality
Mobile-responsive design improvements
Advanced filtering options

Version 1.2 (Q4 2026)

Real-time job updates with WebSocket
Integration with LinkedIn API
Collaborative features for teams
Advanced analytics with ML insights
Performance optimization and caching

Version 2.0 (Q1 2027)

Version 2.1 (Q2 2027)

AI-powered cover letter generation
Resume templates and builder
Community features and forums
Integration with ATS systems
White-label solution for companies

🤝 Contributing

We welcome contributions from the community! Please read our CONTRIBUTING.md for details on our code of conduct and the process for submitting pull requests.

How to Contribute

Fork the repository
Create a feature branch (git checkout -b feature/amazing-feature)
Commit your changes (git commit -m 'Add amazing feature')
Push to the branch (git push origin feature/amazing-feature)
Open a Pull Request

Development Guidelines

Follow PEP 8 style guidelines
Add type hints to all functions
Write tests for new features
Update documentation as needed
Keep commits focused and atomic

📄 License

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

MIT License Summary

✅ Free to use for personal and commercial projects
✅ Free to modify and distribute
✅ No warranty or liability
✅ Must include license and copyright notice

👨‍💻 Author

Jayesh

GitHub: @Jayesh01323
LinkedIn: Jayesh
Email: jayesh@example.com

Acknowledgments

Google Gemini API for AI capabilities
Streamlit team for the amazing framework
Open source community for various libraries

📊 Project Stats

Total Files: 70+ Python files
Lines of Code: 15,000+
Test Coverage: Expanding
API Endpoints: 15+
Job Sources: 6 platforms
Skill Categories: 12 categories
Supported Formats: PDF, JSON

🙏 Support

If you find this project helpful, please consider:

⭐ Starring the repository on GitHub
🐛 Reporting bugs via Issues
💡 Suggesting features via Discussions
📢 Sharing with your network

📞 Contact

For questions, support, or collaboration:

Open an Issue
Email: jayesh@example.com
LinkedIn: Jayesh

Built with ❤️ for the developer community

⬆ Back to Top

Name		Name	Last commit message	Last commit date
.github		.github
data		data
docs		docs
pages		pages
reports		reports
resume-analyzer		resume-analyzer
src		src
tests		tests
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
Dockerfile		Dockerfile
LICENSE		LICENSE
README.md		README.md
app.py		app.py
docker-compose.yml		docker-compose.yml
requirements.txt		requirements.txt

Latest commit

History

Folders and files

Repository files navigation