AI assistant that helps users choose the right size when shopping online, reducing errors and improving trust in African e-commerce.
# SachaSmart Shop Online - MVP
## Overview
This project is a minimal e-commerce prototype built to demonstrate the evolution from a basic shopping experience to an AI-assisted system.
The focus is on solving a real issue: choosing the right size when buying shoes online.
## Current Features
- Product listing
- Product selection
- Size recommendation based on simple rules
- Confidence score
## Tech Stack
- Backend: FastAPI (Python)
- Frontend: HTML, CSS, JavaScript
- Data: JSON
## How to run
### 1. Install dependencies
```bash
pip install fastapi uvicorn
```
### 2. Start backend
```cd backend
uvicorn main:app --reload
```
### 3. Open frontend
Open `frontend/index.html` in your browswer
## Project Goal
This MVP is the first step of a larger vision:
Step 1: Basic e-commerce interface
Step 2: Add size recommendation logic
Step 3: Introduce an AI assistant to guide users
## Next Steps
Add conversational assistant
Improve UI
Connect to real product data