Course Content Evaluation System

In today?s ERA of digital technology, source of information has been changed, nowadays people use various types of social media, news, sites blogs etc. as a source of information. Business, Education and Marketing forever have been changed by the technology. Human beings are becoming more engaged ti

Project Title

Project Area of Specialization

Artificial Intelligence

Project Summary

In today’s ERA of digital technology, source of information has been changed, nowadays people use various types of social media, news, sites blogs etc. as a source of information. Business, Education and Marketing forever have been changed by the technology. Human beings are becoming more engaged time to time, everyone has many jobs to perform in less time. They are supposed to utilize their time effectively. World has witnessed a huge increase in data across the internet, data is being generated in form of texts, images, audios and videos. The need for analyzing these data has become a crucial need.

There are many Natural Language Processing techniques which are widely being used for text analysis and feature extraction including sentiment analysis, semantic matching, text summarization, topic analysis and so on. This is undeniable these techniques have achieved high accuracy in many aspects such as analyzing customer reviews, twitter tweets, and so on.

Natural Language Processing techniques can be also used for analysis of course contents in lecture videos, lecture videos are one of the source of information, lecture content is the main thing which is delivered to students via voice of the tutor. We will develop a system for analyzing and evaluating content of lecture videos, for that we will perform speech to text conversion to get text based data for further process. We will filter the data and extract useful insights from it, users can rate the video accordingly. Lecture may also contain speaker introduction, unrelated keywords and examples which may minimize the accuracy of system.

In this project, we will train our model on Artificial intelligence (AI) course content and match it with video content after removing unrelated keywords and information from lecture video content. This system is based on Artificial Intelligence, Natural Language Processing techniques and python.

Project Objectives

To convert audio in to text form.
To filter the data.
To Train a model on various courses content.
To perform the testing of system.
To improve the accuracy.

Project Implementation Method

There are many software development methodologies which are widely being followed for software development such as waterfall, agile, DevOps and so on. We will use Agile methodology in this project. The Agile is one the most traditional software development methodology which works in iterations. It breaks the project into different phases, it develops constant collaboration within the team and continuous planning. It allows software to be developed in stages which makes easy to identify bugs in the project. As our project is an AI based project for the better accuracy we need to update model frequently. and find the bugs, Agile methodology is best choice for our project.

Benefits of the Project

The monitoring and evaluation of tutor instructions and discussion is difficult task. The monitoring and evaluation is done physically, the tutor’s course content is tested and watched randomly. The random process effects the accuracy of decisions. It is necessary to have a system which automatically rate the instructions and discussion of tutor’s course content. In this project we will develop a system which will perform analysis of tutor’s course content and rate the content accordingly.

The text analysis will be performed on content of Artificial Intelligence lecture videos, those were delivered via English language along with British accent.

This project will be used by students, professionals and universities for rating the content of Artificial intelligence lecture videos.

Technical Details of Final Deliverable

The trained model on Artificial Intelligence course content will be delivered, which will rate and evaluate the content of Artificial Intelligence lecture videos by converting audio into textform, performing text analysis and checking similarity with trained model.