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title: Spandan AI API
emoji: 🫀
colorFrom: blue
colorTo: indigo
sdk: docker
app_port: 7860
pinned: false
---
# Spandan AI API
**Version:** 1.0.0
REST API for AI-powered prediction of:
- Stress
- Physical Activity
- Focus
- Cognitive Engagement
The API is built using **FastAPI** and serves ONNX models using **ONNX Runtime**.
---
# Base URL
```
https://theanalyzer-spandan-api.hf.space
```
---
# Interactive API Documentation
Swagger UI:
```
https://theanalyzer-spandan-api.hf.space/docs
```
---
# Endpoints
## 1. Health Check
### Request
```http
GET /
```
### Response
```json
{
"message": "Spandan API Running",
"status": "healthy",
"version": "1.0.0"
}
```
---
# 2. Stress / Physical Activity / Focus Prediction
Predicts the current state of an individual using **13 wearable sensor values**.
## Endpoint
```http
POST /predict/state
```
Full URL
```
https://theanalyzer-spandan-api.hf.space/predict/state
```
---
## Request
### Headers
```http
Content-Type: application/json
```
### Body
```json
{
"sensor_values": [
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0,
8.0,
9.0,
10.0,
11.0,
12.0,
13.0
]
}
```
> **Note:** Exactly **13 sensor values** must be provided.
---
## Successful Response
```json
{
"prediction": "Physical Activity",
"confidence": 0.9999,
"scores": {
"Stress": 0.0000,
"Physical Activity": 0.9999,
"Focus": 0.0001
}
}
```
---
## Response Fields
| Field | Type | Description |
|--------|------|-------------|
| prediction | string | Predicted class |
| confidence | float | Confidence of predicted class |
| scores | object | Confidence score for all classes |
### Possible Classes
- Stress
- Physical Activity
- Focus
---
# 3. Cognitive Engagement Prediction
Predicts whether an individual is **Engaged** or **Distracted** using **7 wearable sensor values**.
## Endpoint
```http
POST /predict/engagement
```
Full URL
```
https://theanalyzer-spandan-api.hf.space/predict/engagement
```
---
## Request
### Headers
```http
Content-Type: application/json
```
### Body
```json
{
"sensor_values": [
1.0,
2.0,
3.0,
4.0,
5.0,
6.0,
7.0
]
}
```
> **Note:** Exactly **7 sensor values** must be provided.
---
## Successful Response
```json
{
"prediction": 1,
"status": "Engaged"
}
```
or
```json
{
"prediction": 0,
"status": "Distracted"
}
```
---
## Response Fields
| Field | Type | Description |
|--------|------|-------------|
| prediction | integer | Model prediction (`1 = Engaged`, `0 = Distracted`) |
| status | string | Human-readable prediction |
---
# Error Responses
## Invalid Input
HTTP Status
```http
400 Bad Request
```
Example
```json
{
"detail": "Expected exactly 13 sensor values, got 10"
}
```
---
## Internal Server Error
HTTP Status
```http
500 Internal Server Error
```
Example
```json
{
"detail": "Model inference failed: <error details>"
}
```
---
# Python Example
```python
import requests
url = "https://theanalyzer-spandan-api.hf.space/predict/state"
payload = {
"sensor_values": [
1,2,3,4,5,6,7,8,9,10,11,12,13
]
}
response = requests.post(url, json=payload)
print(response.json())
```
---
# JavaScript Example
```javascript
const response = await fetch(
"https://theanalyzer-spandan-api.hf.space/predict/state",
{
method: "POST",
headers: {
"Content-Type": "application/json"
},
body: JSON.stringify({
sensor_values: [
1,2,3,4,5,6,7,8,9,10,11,12,13
]
})
}
);
const data = await response.json();
console.log(data);
```
---
# Notes
- All requests and responses use **JSON**.
- The `/predict/state` endpoint requires **exactly 13 sensor values**.
- The `/predict/engagement` endpoint requires **exactly 7 sensor values**.
- Sensor values **must be provided in the same order used during model training**.
- The API is stateless and can be called independently for each prediction.
- Interactive API documentation is available at:
```
https://theanalyzer-spandan-api.hf.space/docs
```
---
## Technology Stack
- FastAPI
- ONNX Runtime
- NumPy
- Python 3.11
- Hugging Face Spaces (Docker)
---
## Status
🟢 **Production Ready** |