International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 3 May-June 2024 Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Programming Skills Recommendation System with Generative AI

Author(s) Mayur Ahirrao, Shlok Borse, Atharva Deshmukh, Vishvesh Mishra
Country India
Abstract In today’s rapidly evolving technological landscape, the demand for proficient programmers across various domains continues to surge. However, identifying and cultivating the right programming skills remains a daunting task for individuals seeking to enter or advance in the field. To address this challenge, our team has embarked on developing a Programming Skill Recommendation System (PSRS). The PSRS is envisioned as an intelligent platform leveraging machine learning algorithms and data analytics to provide personalized programming skill recommendations. By analysing diverse data sources such as user profiles, project requirements, industry trends, and skill proficiency.
Keywords Programming Skills, Artificial Intelligence, Personalization , Recommendations, Data-driven insights
Field Computer > Logic
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-03-06
Cite This Programming Skills Recommendation System with Generative AI - Mayur Ahirrao, Shlok Borse, Atharva Deshmukh, Vishvesh Mishra - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.14528
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.14528
Short DOI https://doi.org/gtmbhm

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