Quick Draw

1 Oct 2023 – 25 Nov 2023

Project Overview

The Quick Draw project is a collaborative initiative developed during the MAIS202 Bootcamp. The project focuses on implementing a machine learning model capable of predicting animal labels based on user-uploaded images. Leveraging the Google Quick Draw dataset, the application accurately classifies images into 10 distinct animal categories.

Demo

Key Features

• Real-Time Prediction: Upload an image and receive immediate, accurate predictions of the animal depicted.
• High Accuracy: Achieves approximately 83% accuracy across 10 animal classes.
• Collaborative Development: Developed by a two-member team, integrating strong model development with full-stack web application expertise.

Technical Approach

• Model Development: Utilized CNN architecture, training on the Quick Draw dataset to optimize performance.
• Web Integration: Engineered a responsive and user-friendly web interface that seamlessly integrates with the machine learning model for real-time predictions.
• Optimization: Fine-tuned both the model and web application to ensure efficient and smooth operation under live conditions.

Contributions

• Machine Learning: Contributed 50% towards model development, ensuring robust performance and accuracy.
• Web Application: Took full responsibility for designing and implementing the web app, from UI/UX design to backend integration.