Turbidity Analysis App
The Turbidity Analysis App provides a digital solution for monitoring water quality. By converting optical sensor data into clear, actionable metrics, it helps environmentalists and researchers track pollution levels with high precision.
Technology Stack
System Architecture
Data Processing
Python script for signal processing and calibration.
UI
Lightweight interface for real-time monitoring.
Storage
CSV-based logging for long-term data tracking.
The Challenges
Calibrating sensor readings to match laboratory standards.
Handling noisy data from low-cost optical sensors.
Designing an interface for non-technical field workers.
The Solutions
Developed a multi-point calibration algorithm to improve sensor accuracy by 15%.
Applied a moving-average filter to smooth out sensor jitter.
Created a simplified 'Traffic Light' status indicator (Safe/Caution/Hazard).
Key Results & Metrics
Automated data analysis
Environmental monitoring
Precision readings