README.md

AI FixCode Model 🛠️

A Transformer-based code fixing model trained on diverse buggy → fixed code pairs. Built using CodeT5, this model identifies and corrects syntactic and semantic errors in source code.

📌 Model Details

• Base Model: Salesforce/codet5p-220m
• Type: Seq2Seq (Encoder-Decoder)
• Trained On: Custom dataset with real-world buggy → fixed examples.
• Languages: Python (initially), can be expanded to JS, Go, etc.

🔧 Intended Use

Input a buggy function or script and receive a syntactically and semantically corrected version.

Example:

# Input:
def add(x, y)
 return x + y

# Output:
def add(x, y):
    return x + y