Bee or Wasp AI/ML Web Application
Created by Jordan Muller on 2023-05-01
Machine Learning-Driven Bee and Wasp Identification Tool - A Google Colab-Based Web Application
Introduction to the Project
For my final year project in Computer Science, I embarked on an exciting journey to create a web application that simplifies the identification of bees and wasps. This application, built on a foundation of advanced machine learning techniques, allows users to upload images and receive immediate analysis, distinguishing between these two insect types.
Innovative Features of the Tool
- User-Centric Design on Google Colab: The tool is crafted on Google Colab, offering an interactive and user-friendly experience. Users with varying technical backgrounds can easily upload images for analysis.
- State-of-the-Art Image Recognition: At its core, the tool employs a Convolutional Neural Network (CNN). This choice underscores its capability in accurate image classification.
- High Performance and Precision: The model is fine-tuned through rigorous training, involving 10 epochs and a vast database of images, ensuring its reliability and accuracy in identification.
Technical Backbone
- The backend and machine learning components are developed using Python.
- Google Colab serves as the platform, enhancing accessibility and interaction.
- A Convolutional Neural Network (CNN) is pivotal for the image recognition process.
Overcoming Obstacles
- Efficient Data Management: One of the major hurdles was the effective processing of a substantial image repository. This was addressed by refining the data management workflow for better efficiency.
Project Realization
This project culminated in a dynamic and efficient web application. It offers a straightforward, user-friendly interface for uploading images of bees or wasps and quickly provides accurate classifications. The intuitive results display is invaluable for both hobbyists and scientific researchers. This endeavor was not only a triumphant Capstone project but also a testament to my proficiency in machine learning and software development.