This project utilizes text mining and natural language processing techniques to analyze construction site accidents. The goal is to predict accident types based on event keywords, providing insights for improved safety measures.

• Introduction
• Overview
• Table of Contents
• Features
• Installation
• Usage
• Dependencies
• Contributing

• Upload the OSHA dataset for analysis.
• Preprocess data using text mining techniques.
• Implement various machine learning algorithms for accident-type prediction.
• Visualize prediction results using graphs.
• Extract dangerous objects using chunking techniques.

1. Clone the repository git clone https://github.com/sanjeevareddyv456/AI3106_PROJECT.git
2. Navigate to the project directory cd AI3106_PROJECT
3. Install dependencies pip install -r requirements.txt

1. Upload the OSHA dataset using the provided button.
2. Choose from different machine learning algorithms for prediction.
3. Visualize precision, recall, F-score, and accuracy using graphs.
4. Extract dangerous objects from the dataset.

Python 3.x, Tkinter, Pandas, NumPy, Matplotlib, Scikit-learn, TextBlob, NLTK.

Sanjeeva Reddy Vulpala, Chethan Maram, Tayi Sri Harshini, Bharath Upperla, Tarun Sri Sai Arava.