diff --git a/StreamServer/src/main.py b/StreamServer/src/main.py
index 8924cc6..aae364b 100644
--- a/StreamServer/src/main.py
+++ b/StreamServer/src/main.py
@@ -2,7 +2,7 @@ import uvicorn
 
 from fastapi import FastAPI
 from fastapi.middleware.cors import CORSMiddleware
-from routers import video, weather, prediction, camera
+from routers import video, weather, prediction, camera, recommend
 
 
 app = FastAPI(
@@ -33,6 +33,7 @@ app.include_router(video.router, prefix="/camera")
 app.include_router(weather.router, prefix="/weather")
 app.include_router(prediction.router, prefix="/weather")
 app.include_router(camera.router, prefix="/camera")
+app.include_router(recommend.router, prefix="/recommend")
 
 @app.get("/")
 def read_root():
diff --git a/StreamServer/src/routers/recommend.py b/StreamServer/src/routers/recommend.py
new file mode 100644
index 0000000..cd2dc02
--- /dev/null
+++ b/StreamServer/src/routers/recommend.py
@@ -0,0 +1,68 @@
+from datetime import datetime
+from fastapi import APIRouter, HTTPException
+
+from scheme import RecommendationData, HealthData
+
+router = APIRouter()
+
+@router.post("/recommendation/", response_model=list[RecommendationData])
+async def get_health_recommendation(data: HealthData):
+    recommendation = []
+    current_time = datetime.now()
+
+    INDOOR_HIGH_TEMP = 30
+    INDOOR_LOW_TEMP = 20
+    INDOOR_VERY_LOW_TEMP = 15
+    OUTDOOR_HIGH_TEMP = 35
+    OUTDOOR_LOW_TEMP = 10
+    PM25_HIGH = 50
+    PM25_VERY_HIGH = 100
+    PM10_HIGH = 50
+    PM10_VERY_HIGH = 100
+
+    if data.indoor_temp > INDOOR_HIGH_TEMP:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                 recommendation="It's quite warm indoors. Consider using a fan or air conditioning.",
+                                                 status="warning"))
+    elif data.indoor_temp < INDOOR_LOW_TEMP:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                 recommendation="Indoor temperature is low. Wear warm clothing or adjust heating.",
+                                                 status="warning"))
+    elif data.indoor_temp < INDOOR_VERY_LOW_TEMP:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="Indoor temperature is very low. Take measures to stay warm.",
+                                                status="danger"))
+
+    if data.outdoor_temp > OUTDOOR_HIGH_TEMP:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="The outdoor temperature is high. Avoid prolonged outdoor activities.",
+                                                status="warning"))
+    elif data.outdoor_temp < OUTDOOR_LOW_TEMP:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="It's very cold outside. Dress warmly and limit outdoor exposure.",
+                                                status="danger"))
+
+    if data.outdoor_pm25 > PM25_HIGH:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="The PM2.5 levels are elevated outdoors. Limit outdoor exposure.",
+                                                status="warning"))
+    elif data.outdoor_pm25 > PM25_VERY_HIGH:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="High PM2.5 levels detected. Avoid outdoor activities in polluted areas.",
+                                                status="danger"))
+
+    if data.outdoor_pm10 > PM10_HIGH:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="The PM10 levels are high outdoors. Avoid areas with heavy pollution.",
+                                                status="warning"))
+    elif data.outdoor_pm10 > PM10_VERY_HIGH:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="High PM10 levels detected. Consider staying indoors or using masks.",
+                                                status="danger"))
+
+    if not recommendation:
+        recommendation.append(RecommendationData(timestamp=current_time,
+                                                recommendation="Everything good ;).",
+                                                status="normal"))
+
+    return recommendation
\ No newline at end of file
diff --git a/StreamServer/src/scheme.py b/StreamServer/src/scheme.py
index 8b1ec62..56705ef 100644
--- a/StreamServer/src/scheme.py
+++ b/StreamServer/src/scheme.py
@@ -74,6 +74,19 @@ class PredictonTemperature(BaseModel):
     outdoor_temp: Optional[float]
 
 
+class RecommendationData(BaseModel):
+    timestamp: Optional[datetime]
+    recommendation: Optional[str]
+    status: Optional[str]
+
+
+class HealthData(BaseModel):
+    indoor_temp: float
+    outdoor_temp: float
+    outdoor_pm25: float
+    outdoor_pm10: float
+    outdoor_humidity: float
+
 
 # class Action(BaseModel):
 #     timestamp: Optional[datetime]