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eISSN: 2581-9615 || CODEN: WJARAI || Impact Factor 8.2 ||  CrossRef DOI

Research and review articles are invited for publication in April 2026 (Volume 30, Issue 1) Submit manuscript

AI based virtual learning assistant

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Kavitha Soppari, Harika Keshetti *, Abhilash Dheeravath and Rishwanth Ramshetty

Department Of CSE (Artificial Intelligence and Machine Learning), ACE Engineering College Hyderabad, Telangana, India.

Review Article

World Journal of Advanced Research and Reviews, 2026, 30(01), 1036-1041

Article DOI: 10.30574/wjarr.2026.30.1.0876

DOI url: https://doi.org/10.30574/wjarr.2026.30.1.0876

Received on 24 February 2026; revised on 07 April 2026; accepted on 09 April 2026

The AI based Virtual system has a teaching platform that uses artificial intelligence. This platform is about Data Science. It has teachers that are experts in specific subjects like Python and SQL. These teachers can also teach Exploratory Data Analysis and Machine Learning. The virtual teachers are made to be experts in their subjects. They can give answers to questions that students ask. The platform lets students talk to these teachers one on one. If a student has a question that involves than one subject the system can still help. It brings in teachers that know about the other subjects. This system is made to be big. Can handle a lot of students. It is starting with Data Science. It can add more subjects later. The idea is to make a learning place where students can get help from these teachers anytime they want. The system wants to make learning personal and easy to understand. Students can use it to learn at their pace. The Data Science platform is the start and more subjects will be added to make it even better.

Teaching Platform; One on one; Exploratory Data Analysis; Machine Learning; Python; SQL.

https://wjarr.com/sites/default/files/fulltext_pdf/WJARR-2026-0876.pdf

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Kavitha Soppari, Harika Keshetti, Abhilash Dheeravath and Rishwanth Ramshetty. AI based virtual learning assistant. World Journal of Advanced Research and Reviews, 2026, 30(01), 1036-1041. Article DOI: https://doi.org/10.30574/wjarr.2026.30.1.0876.

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