Children's Drawing Emotion Analysis System
Developed a full-stack AI system using FastAPI (backend) and React + TypeScript (frontend). Implemented EfficientNet-B0 model in PyTorch to classify drawings into 4 emotions: Angry, Fear, Happy, Sad.
⭐ Featured Project5 Technologies

Technologies Used
PyTorchFastAPIReactTypeScriptEfficientNet
Project Information
- Developer
- Preet Patel
- Project Type
- Featured Project
- Category
- PyTorch
About This Project
Developed a full-stack AI system using FastAPI (backend) and React + TypeScript (frontend). Implemented EfficientNet-B0 model in PyTorch to classify drawings into 4 emotions: Angry, Fear, Happy, Sad.
Technical Implementation
This project showcases Preet Patel's expertise in PyTorch, FastAPI, Reactand demonstrates proficiency in modern web development practices. The implementation focuses on performance, user experience, and maintainable code architecture.
Key Features & Highlights
- Built with PyTorch for optimal performance
- Responsive design that works across all devices
- Clean, modern UI with attention to user experience
- Optimized for search engines and accessibility
- Featured as a showcase project in Preet Patel's portfolio
Interested in Similar Work?
Preet Patel is available for custom development projects and consulting services.
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