Part-Time Job Portal: Web Application
Prof.O.A.Terdalkar1 ,Rohit Erugurala 2, Shlok Dubal3, Rameshwar Patil4 , Shoukat Mulla5
1 Assistant Professor, Dept. of Computer Science Engineering, D Y Patil College of Engineering and Technology(Autonomous),Kasaba Bawada , Kolhapur, Maharashtra.
2345B. Tech Students, Dept. of Computer Science Engineering, D Y Patil College of Engineering and Technology(Autonomous),Kasaba Bawada, Kolhapur, Maharashtra
ABSTRACT
In contemporary society, the pursuit of part-time employment opportunities among students has become increasingly prevalent, driven by the desire for practical experience, financial independence, and the need to balance academic commitments with professional growth. This research paper introduces a novel approach to addressing the challenges faced by both students seeking part-time work and local businesses offering such opportunities. Our project aims to develop a robust web application that serves as an intermediary platform connecting students and local vendors/startups in a seamless and efficient manner.
Through a comprehensive analysis of the current job market landscape and an in-depth examination of the specific needs and pain points experienced by students and vendors alike, our initiative endeavors to develop a solution that not only facilitates job discovery and application processes but also enhances the overall user experience for all stakeholders involved. Leveraging advanced algorithms, user-centric design principles, and data-driven insights, our platform seeks to optimize the matching of student attributes with job requirements, thereby maximizing the likelihood of successful placements.
For students, our platform offers a streamlined means of discovering part-time job opportunities tailored to their skills, preferences, and availability. By incorporating intuitive search functionalities and personalized recommendation features, the platform aims to simplify the job search process, saving students valuable time and effort while empowering them to make informed decisions regarding their employment prospects