Aml 2404 Artificial Intelligence And Machine Learning Lab

AML 2404 Artificial Intelligence and Machine Learning LabTable of Contents1. Abstract 32. Introduction 43. Methods 53.1. Acquiring the dataset 53.2. Splitting the dataset 53.3. Model Creation 53.3.1. CNN 73.3.2. Use of Keras ImageDataGenerator 83.3.3. CNN model creation, compilation, and model fitting 93.3.4. Epoch and Batch in a neural model 9Page | 1AML 2404 Artificial Intelligence and Machine Learning Lab3.3.5. Model Prediction 103.3.6. Model Testing 113.3.7. Remapping 123.3.8. Saving the model 133.3.9. Hosting the model on a web interface 133.3.10. Testing the web interface model 143.3.11. Deployment 144. Results 175. Conclusion and Future work 186. References 191. AbstractArtificial Intelligence and Machine learning (AI and ML) have multiple applications in medical science, technology, and our day-to-day lives. In the past decade, information technology has seen a huge uprising in AI and ML, along with big data. With studies and research focused on improving livelihoods, this report also points to the same.In this report, we are trying to develop a ML model that can detect and display sign language hand signals. Sign language is a type of communication that uses hand signs and hand movements to communicate with others. The main motivation behind this project is thatthe application of this model can help