M O S Q U I S C A N
AI-ASSISTED MOSQUITO SITE INSPECTION
CANDIJAY MUNICIPAL HIGH SCHOOL Science and Technology Research Project
MOSQUITO INSPECTION SYSTEM

Detect. Scan. Protect.

A smartphone-based AI system that helps identify potential mosquito breeding environments using image analysis, ESP32 visual signals, and geospatial mapping.

02 AI Classes
01 Scan
02 LED Outputs
πŸ€– AI READY
β–£ IMAGE SCAN
πŸ’‘ ESP32 ONLINE
LAT 09.8190
LNG 124.4970
πŸ“±
CAPTURE Smartphone Camera
β†’
πŸ€–
ANALYZE Teachable Machine AI
β†’
πŸ’‘
OUTPUT ESP32 LED
β†’
πŸ—ΊοΈ
RECORD Location + Result
β—ˆ
TOTAL RECORDS 0
●
POSSIBLE SITES 0
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NOT POSSIBLE 0
01

New Inspection

Capture or upload an image for AI classification.

AI CLASSIFICATION

Analysis Result

AI
Waiting for image...
Confidence β€”
AI EXPLANATION

Analyze an image to generate an explanation.

SUGGESTED ACTION

The suggested action will appear here after AI analysis.

πŸ’‘
ESP32 LED OUTPUT Physical classification indicator
Not Configured
Possible
Not Possible
02

Inspection Location

Add the location where the image was captured.

03

Inspection Records

Saved AI classifications and inspection locations.

β—«

No inspection records yet

Saved inspections will appear here.

04

How MosquiScan Works

From smartphone capture to physical LED output.

01
πŸ“±

Capture

Capture an inspection image using a smartphone camera.

02
πŸ€–

Analyze

The trained AI model classifies the image into two categories.

03
πŸ’‘

Indicate

The ESP32 activates a red or green LED based on the result.

04
πŸ—ΊοΈ

Record

Save the classification together with its inspection location.