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Implementation of Job Alert System

Shivendra Malviya, Bhavna Kale, Khushika Nimbalkar, Deepika Malviya

Abstract


The Job Alert System is a comprehensive platform designed to streamline job searching, saving, and notification processes for users. Built using Python and Streamlit, the system allows users to search for job opportunities across various platforms, save their preferred jobs, and receive timely alerts through email, SMS, and WhatsApp. The platform integrates advanced features such as dynamic job searching, personalized notification settings, and automated alert delivery, ensuring a seamless user experience. The system leverages Python libraries and APIs to fetch job listings, process user preferences, and send notifications. Users can customize their notification preferences, including the choice of communication channels and alert frequency. The application also incorporates robust data management, storing user preferences and saved jobs locally for easy access and retrieval. A key highlight of the system is its ability to send welcome messages and job alerts based on user preferences, ensuring personalized engagement. The platform addresses challenges such as handling dynamic content, managing user data securely, and providing a responsive interface for job seekers.


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