1. Introduction
  1.1 Background and motivation
  1.2 Objectives of the project
2. Literature Review
  2.1 Overview of process monitoring techniques
  2.2 Role of artificial intelligence in process monitoring
3. Data Acquisition and Preprocessing
  3.1 Selection of process variables and sensors
  3.2 Data preprocessing and feature extraction
4. Development of AI-Based Monitoring Models
  4.1 Selection of machine learning algorithms
  4.2 Training and validation of monitoring models
5. Real-Time Implementation and Validation
  5.1 Integration of AI-based monitoring systems in industrial processes
  5.2 Validation and performance assessment