Job Harvest is an intelligent job search platform that aggregates job listings from multiple renowned portals using web scraping and enhances search accuracy with Natural Language Processing (NLP) and a Recommender System. The platform provides multilingual support, abbreviation expansion, and personalized job recommendations, making job hunting more efficient and accessible.
- Aggregates job listings from platforms like Drjobs, Tanqeeb, Jobzella, Forasna, and Wuzzuf.
- NLP-powered search enhancement (abbreviation expansion, keyword normalization, bilingual support).
- AI-driven Recommender System for personalized job suggestions.
- Real-time scraping automation with APScheduler.
- User-friendly web interface built with TypeScript, JavaScript, CSS, and HTML.
- Seamless API integration with a Supabase backend.
- Python (for data processing, automation, and AI integration)
- BeautifulSoup & Selenium (for web scraping)
- NLTK & SpaCy (for NLP preprocessing)
- T5-based NLP Model (for abbreviation expansion and contextual understanding)
- Google Translate API (for bilingual job search support)
- APScheduler (for scheduling automated scraping tasks)
- TypeScript, JavaScript, CSS, HTML (for front-end development)
- Supabase (for database and hosting)
Ensure you have the following installed on your system:
- Python 3.8+
- Node.js & npm (for front-end development)
- Search for jobs using natural language queries (e.g., "ML Engineer in Cairo").
- Get personalized recommendations based on your profile and previous searches.
- Apply for jobs directly through aggregated listings.
- Filter and sort jobs based on various criteria (e.g., industry, location, experience level).
- Samir Elawady
- Mohammed Tarabay
- Mohammed Rizk
- Adham El-Sadat
- Sami El-Yazouri
- Ahmed Eltabal
- Ashraf Salah
- Ahmed Zien
This project is licensed under the MIT License – see the LICENSE file for details.