Career Path Insights-Reference-Cited by-同舟云学术

Career Path Insights

Published:2024-04-24 Issue: Volume: Page:
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Author:

Jadhav Aditya¹,Pandey MohitKumar¹,Zine Sahil¹,Baksh Muzfaar¹,Pawar Deepti¹

Affiliation:

1. University of Mumbai

Abstract

“Career Path Insights” is a digital platform that helps students navigate their path to success through a blend of technology, user engagement, and educational tools. It provides a user-friendly website with various features to support students in making well-informed career choices. Some of its key features include user registration, data input forms for academic and skill details, prediction of eligibility using machine learning, personalized career suggestions, user dashboards, interactive data display, a resume creator, and additional features to improve the overall user experience.

Publisher

Research Square Platform LLC

Reference21 articles.

1. Machine Learning (2017) International Conference on advanced computing and communication systems(ICACCS-2017), Jan06-07,2017,Coimbatore, INDIA

2. Sreenivasa Rao K, Swapna N (1998) P. Praveen Kumar Educational data mining for student placement prediction using machine Learning algorithms Research Paper, International Research Journal of Engineering andTechnology (IRJIET) 20182015, 153,286–299. [CrossRef]Kohavi, R and F, Provost Machine Learning 30:271–274

3. Shreyas Harinath A, Prasad, Suma H, Suraksha A (2019) Student Placement Prediction using Machine Learning, International Research Journal of Engineering and Technology (IRJIET) Volume: 06 Issue: 04 April

4. Pavani NM, Pujitha PV, Vaishnavi K, Neha, Sahithi DS (2022) Feature Extraction based Online Job Portal, 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, pp.1676–1683,10.1109/ICEARS53579.2022.9752295

5. Pavani V, Pujitha NM, Vaishnavi PV, Neha K, Sahithi DS (2022) Feature Extraction based Online Job Portal, 2022 International Conference on Electronics and Renewable Systems (ICEARS), Tuticorin, India, pp.1676–1683,10.1109/ICEARS53579.2022.9752295