Description: The project aims to develop an automated code review system that utilizes machine learning algorithms to analyze and provide feedback on code quality. The system will be able to detect potential bugs, inefficiencies, and adherence to coding standards, ultimately improving the overall quality of the code base. The project will involve the design and implementation of a machine learning model trained on a dataset of code snippets and their corresponding reviews. The system will also include a user interface for developers to submit their code for review and view the feedback generated by the system. Additionally, the project will explore the integration of the system with popular version control platforms such as GitHub for seamless code review workflow. – Complete project material
[ad_1] Table of Contents Chapter 1: Introduction 1.1 Background of the Study 1.2 Problem Statement 1.3 Objectives of the Study 1.4 Research Questions 1.5 Significance of the Study 1.6 Scope of the Study 1.7 Limitations…
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