Projects
Saver of Birds Species

Saver of Birds Species

Team: NAITIKAGGARWAL86000

Project Details

Project Description: I have modeled an AI based system using pictoblox to classify species of bird. Pictoblox is one of the best tool for coding. We designed this project for codeavour competition which provided big opportunity to learn coding and implement AI and ML based project. Machine Learning is shaping our world today. AI & ML has touched and influenced almost every aspect of our lives. That’s why it has become one of the most crucial skills for children to learn. Machine Learning is the skill of the future and it will become commonplace everywhere – including classrooms. It’s a subclass of AI that helps computers ‘learn’ through experience with minimal human assistance. Considering the importance of Machine Learning for kids, PictoBlox is introducing the Machine Learning (ML) Environment to help students learn more about it. Problem Statement: Many bird species are becoming more difficult to locate, and even when they are, it may be difficult to anticipate their classification. Observed from a distance, birds may be seen in a wide range of sizes, shapes, colors, and orientations. The photographs show a great deal more variation in the bird's breed than the auditory categorization. Using photos, people are better able to discriminate between birds. BIRD behavior and population trends have become an important issue now a days. Birds help us to detect other organisms in the environment (e.g. insects they feed on) easily as they respond quickly to the environmental changes. But, gathering and collecting information about birds requires huge human effort as well as becomes a very costlier method. In such case, a reliable system that will provide large scale processing of information about birds and will serve as a valuable tool for researchers, governmental agencies, etc. is required. So, bird species identification plays an important role in identifying that a particular image of bird belongs to which species. Bird species identification means predicting the bird species belongs to which category by using an image. We ML environment of pictoblox. Machine Learning (ML) Environment introduces seven new categories of training models in Block and Python coding. This feature is available only in the desktop version (6.0.0 or above) of PictoBlox. Enhanced Python coding features with hardware/robot control, AI-ML modules, and file handling. PictoBlox web version update (2.0.0) allows you to do Block and Python coding directly in your browser to control hardware and robots.
Project Theme: Save the Environment
Project Category: AI and ML Projects
Country: India