Techvision AI: Revolutionising Teaching Evaluation

Adivasi, Vandna; Goutam, Aachal; Khandekar, Sejal; SwetaKriplani,

doi:https://doi.org/10.55041/ijsmt.v2i5.364

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TECHVISION AI: REVOLUTIONISING TEACHING EVALUATION

AUTHORS:

Vandna Adivasi

Aachal Goutam

Sejal Khandekar

SwetaKriplani

Mentor

Divya

Affiliation

Deparment of Computer Science & Engineering, Shri Ram Institute of Technology RGPV, Jabalpur, Madhya Pradesh, India

DOI: 10.55041/ijsmt.v2i5.364

CC BY 4.0 License:

This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Abstract

TechVision AI is an intelligent teaching evaluation system designed to improve educational quality using Artificial Intelligence, Machine Learning, and smart analytics. The system analyzes lecture sessions through visual, audio, and text-based processing to evaluate teaching performance on parameters such as clarity, engagement, confidence, communication, and pacing,

The project integrates frontend technologies, backend processing, and AI-based models to generate automated feedback and performance reports. The frontend interface was developed using HTML, CSS, JavaScript, and Bootstrap to provide a responsive and user-friendly experience. Backend integration and data processing are handled using Python frameworks such as Flask and FastAPI.

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This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.

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