Update README.md

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IT17176798 - Dilhara N B IT17176798 - Dilhara N B
Analyzing large user interaction data is another trend that has grown rapidly over the past few years. The web analytics techniques used by various service providers are a perfect example of the ingenuity that can be gained by exploring large datasets. This trend has spread to the two domains of education and digital e-games. Each region has its own methods for educating educational users to analyze how they deal with digital content.
That is, learning analysis in education and gaming analysis in the form of digital educational games. The key point found while researching many of the e-learning platforms is that there are very limited facilities available in the existing systems for comprehensive analysis of the student progress intend to make. Learning games data can be collected from many types for analysis.
The data can be viewed from two different perspectives, depending on which aspects of the learning game the students are involved in. That is, a technology that focuses on the learning game and the infrastructure of that game, as well as user data and experience.
***INDIVIDUAL OBJECTIVES*** ***INDIVIDUAL OBJECTIVES***
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