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KingCold

🎯 Project Overview

Full-stack automation platform that revolutionizes job applications by generating personalized cold emails, optimizing resumes with AI, and creating tailored cover letters. Built to solve the time-consuming and repetitive nature of job searching.


πŸ› οΈ Technology Stack

Backend: FastAPI, Python 3.10+ | Database: MongoDB Atlas | AI/ML: Google Gemini, Tesseract OCR
Frontend: HTML/CSS/JavaScript | Deployment: Docker, Render | External APIs: Google Apps Script


🎯 Skills Demonstrated

Backend Development: FastAPI, Python, RESTful APIs, JWT Authentication
Database: MongoDB, Data Modeling, Query Optimization
AI/ML: Google Gemini, Tesseract OCR, Natural Language Processing
DevOps: Docker, Cloud Deployment, CI/CD, Environment Management
Integration: Google Apps Script, External APIs, Third-party Services
Security: Authentication, Authorization, Input Validation, Data Protection


πŸ—οΈ Core Components

Authentication & Security

  • JWT-based authentication with secure HTTP-only cookies
  • Bcrypt password hashing and input validation
  • CORS-enabled FastAPI REST API with comprehensive error handling

AI-Powered Email Engine

  • Personalized cold email generation using dynamic HTML templates
  • Google Apps Script integration for automated email sending
  • Professional email formatting with embedded links and styling

Intelligent Document Processing

  • Tesseract OCR for extracting recruiter details from business cards
  • Image preprocessing with contrast enhancement and noise reduction
  • Automatic contact parsing (name, company, email extraction)

Resume Optimization System

  • Skill taxonomy matching against job descriptions using NLP
  • Gap analysis to identify missing skills and recommend additions
  • Automated LaTeX resume updates with PDF compilation
  • Company-specific customization for targeted applications

AI Cover Letter Generator

  • Google Gemini AI integration for contextual cover letter generation
  • ATS-optimized formatting with professional PDF output
  • Multi-source context (job description + user bio + resume analysis)

Analytics & Performance Tracking

  • Real-time application statistics and success rate monitoring
  • Company and recruiter contact management with relationship tracking
  • Performance metrics and optimization insights

πŸš€ Key Features & Capabilities

Automation & Efficiency

  • One-click email sending with Google Apps Script integration
  • Batch email queuing for scheduled sending campaigns
  • Automated document generation (resume + cover letter in seconds)

AI & Machine Learning

  • Natural language processing for intelligent job description analysis
  • Skill matching algorithms with gap identification and recommendations
  • Context-aware content generation using multiple data sources

Security & Scalability

  • Production-ready security with JWT authentication and input sanitization
  • Containerized deployment with Docker for easy scaling
  • Cloud-native architecture with MongoDB Atlas and external service integration

User Experience

  • Intuitive image upload for instant recruiter detail extraction
  • Real-time progress tracking with comprehensive analytics dashboard
  • Professional document output with high-quality PDF generation

🎬 Demo


πŸ“Š Impact & Results

Business Value

  • 90% time reduction in job application preparation
  • Personalized content tailored to each job description
  • Professional document output with consistent quality
  • Comprehensive analytics for application optimization
  • Scalable automation handling multiple applications simultaneously

Technical Achievements

  • Full-stack development with modern Python/FastAPI stack
  • AI/ML integration using Google Gemini and OCR technologies
  • Database design with MongoDB Atlas and 8 optimized collections
  • External API integration with Google Apps Script and cloud services
  • Security implementation with JWT authentication and input validation
  • DevOps practices with Docker containerization and cloud deployment

The code (when open sourced) will be available at: https://github.com/vatsalvatsyayan/coldemail-backend

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