AI Sentiment Analysis Web App
🌐 Live Demo
You can access the application directly in your browser:
https://kellyaraujoo.github.io/ISY503-Assessment3-NLP/
📖 About the Project
This project is a web-based application that analyzes user reviews and predicts whether the sentiment is positive or negative using Artificial Intelligence.
The system consists of a front-end interface where users can type a review, and a back-end model **(to be integrated) ** that processes the text and returns the sentiment result.
This project was developed as part of the ISY503 Intelligent Systems assessment.
🚀 Features
- User-friendly interface with input text box
- Real-time sentiment analysis (UI simulation / backend integration pending)
- Popup result display with modern glassmorphism design
- Ready for integration with a fine-tuned BERT model
🛠️ Technologies Used
- HTML5
- CSS3 (Glassmorphism UI)
- JavaScript
- Python (for backend integration)
- Machine Learning (BERT - planned)
📂 Project Structure
/project-folder
│── index.html
│── style.css
│── script.js
│── /Img
│ ├── banner.png
│ ├── logo.png
👥 Team
- Kelly Thaiane Costa de Araujo
- Frontend development, UI/UX design, and user interaction
- Nomayer Hossain
- Machine learning models (LSTM and BERT), data pipeline, and system architecture
- Andrew Chang
- Project coordination, presentation, and video editing