AI-powered customer insight tool for small businesses.
Turn messy reviews into actionable insights using NLP, visualizations, and a chatbot assistant.
Many small business owners rely on gut feeling or instinct, while big companies make data-driven decisions.
Solution Pitch democratizes customer feedback analysis, helping local businesses make smarter choices—without a data team.
- Sentiment Analysis using Azure Text Analytics
- Keyword Clustering to identify core strengths
- Comparison with Nearby Businesses
- Chatbot Summary + Apple Reminder integration
- Photo Uploader with social media image recommendations
- JSON/CSV → PostgreSQL Pipeline
git clone https://github.com/ideal-jiwon/restaurant-ai-frontend-koala94.git
git checkout demo-clean
cd /restaurant-ai-backend/restaurant-ai-frontend-typescript
pip install -r requirements.txt
python server.py
## Tech Stack
| Layer | Tech |
|-------------|--------------------------------------|
| Frontend | HTML, CSS, JavaScript, Chart.js |
| Backend | Python Flask |
| Database | PostgreSQL (hosted on Azure) |
| AI/NLP | Azure Text Analytics, Azure OpenAI |
| Media Search| Pexels API + PyTorch (image match) |
---
## Data Structure
/restauarant-ai-frontend-typescript/
│
|── app/services
│ ├── db.py
│ ├── nlp_service.py
│
│
|── app/database/data
│ ├── business.json
│ ├── review.sjon
│
│── __init__.py
│── auth.py
│── chat.py
│── image_analysis.py
│── models.py
│── photo.py
│── remind.py
│── routes.py
│── search.py
│
├── public/ (HTML/CSS/JS frontend)
│── header.html
│── index.html
│── login.html
│── report.html
│
│
├── public/js
│ ├── map.js
│ ├── chatbot.js
│ ├── header.js
│ ├── analysis.js
│ └── auth.js
│
├── .env
│── requirements.txt
│── server.py