Classification of Hand Postures using Machine Learning Models

Student Name: B Bhakta Varun

Enrollment Number: 01719011621

Batch: AIML B1

Email ID: bhaktavarunbollapragada@gmail.com

Contact Number: +91 9625609705

Project Folder: 017B_Bhakta_Varun - Google Drive

Project Description

The project "Classification of Hand Postures using Machine Learning Models" aims to develop classification models to identify hand postures. By leveraging machine learning algorithms and utilizing a dataset provided by the University of California, Irvine (UCI), we can build models that classify hand postures into one of the following classes. The link to my project folder is here: 017B_Bhakta_Varun - Google Drive

Dataset

The dataset for this project can be found at the following link: MoCap Hand Postures - UCI Machine Learning Repository

Kaggle Notebook Link

We have also uploaded the project resources, including the dataset and code files, to Kaggle Notebook. You can access them using the following link: Classification of Hand Postures using Machine Lear | Kaggle

Conclusion

The "Classification of Hand Postures using Machine Learning Models" project is a valuable initiative that can help posture recognition via classification. Overall, the relevance of this project lies in its potential to enhance human-computer interaction, facilitate rehabilitation and assistive technology, enable biomechanical analysis, improve security systems, enhance human-robot interaction, and support sign language communication. The findings and techniques developed in this project can have practical applications in numerous fields, benefiting individuals, industries, and society as a whole.