Bidirectional Encoder Representations from Transformers (BERT)
Commenting code is a crucial yet often neglected part of software development. This project addresses the challenge by leveraging transformer models like BERT to automatically generate comments for source code. By training the model on a large dataset of code-comment pairs, the system learns to understand the functionality of code snippets and generates descriptive annotations. The project focuses on building a model that assists developers in documenting their code, improving code readability, and fostering better collaboration in software projects.
Basic Knowledge of Programming Languages like Python, R, TensorFlow etc.
Before Commencing the project the following links have to be examined.
https://www.coursera.org/
https://towardsai.net/
https://stackoverflow.com/
https://github.com/github/CodeSearchNet
