International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 01 | Jan 2024
p-ISSN: 2395-0072
www.irjet.net
PLACEMENTS ANALYTICS AND DASHBOARD G. Dinesh1, M N V. Surekha2, D. Harika3, A. Sunand4, U. Dayanand Kumar5, A. Naveen6 Sri Vasavi Engineering College (Autonomous), Pedatadepalli, Tadepalligudem, Andhra Pradesh – 534101, India. ---------------------------------------------------------------------------***--------------------------------------------------------------------------Abstract: The "Placements Analytics and Dashboard" is a comprehensive web application designed to store and analyze placement data [1][2] for students who have secured positions in software companies. Now a days there are various technologies and opportunities in the software field so in order to get placed in a well-established software company we need to find out which of them are well-established companies and technologies that need to be learnt by the students [3][5]. This system offers powerful analytical features [6] that enables users to enhance statistical reports and visualizations. A pie chart representation showcases the distribution of placements based on the technologies learnt by students. This visualization acts as a guide for students to identify the most sought-after skills in the industry to empower them and make informed decisions regarding their educational and career paths. Furthermore, the project includes a comparative analysis of placement trends year by year, depicted through bar graphs and a pie chart representation of hiring companies that illustrates the number of students recruited by each Organisation valuable insights [7] and industry preference.
Increasing opportunities and technologies in the software field demands informed career choices for students. The “Placements Analytics and Dashboards” is a web application that addresses the need by analysing placement data for students in software companies. This web application project will empower students with data-driven insights to identify sought-after skills in the industry, offering powerful analytical features such as pie charts and bar graphs for enhanced statistical reports and visualizations. This project will also facilitate comparative analysis of placement trends year by year and showcases company preferences for requirement. This comprehensive tool guides students towards successful education and career paths in the Software Industry.
2.Literature Survey: In the past few years, there has been a surge in the demand for skilled professionals in the software industry, leading to a rise in placement analytics and dashboard solutions. This trend highlights the growing importance of employing effective strategies for acquiring, analysing, and utilizing this crucial data. While various studies and surveys have been conducted in recent years to understand the trends and challenges in the software industry. This review may help us to describe some preliminary research that was caried out by several authors on this relevant work. Now we are going to consider some important guidance and keywords to further expand our work:
Keywords:
Analysis and Dashboard Web application Placements Data Visualizations Pie Charts, Bar Graphs, Statical Reports Database
1.Introduction: In many institutions there is mostly no data of previous projects. This Platform "Placements Analytics and Dashboard" seeks to address the lack of a centralized repository for accessing student data. This website will serve as a comprehensive repository of student data, allowing the students to explore and search for the courses they need to complete in order to secure a job in best companies and to find information about those who have been previously employed.
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Placement Analytics for Software Engineering Students by Kumar et al. (2020) This research paper introduces a dashboard that leverages data mining and machine learning techniques to analyze placement data specific to software engineering students. The primary goal is to offer valuable insights into the job market for these students, helping them make informed career choices. The dashboard provides information on popular technologies that are in demand in the job market, crucial skills, and top companies in the software engineering field.
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