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IoT & EmbeddedIntermediateFYP / Projek Akhir Tahun Ready

IoT-Based Fish Market Cold Box Temperature Logger

IoT-Based Fish Market Cold Box Temperature Logger is a water monitoring and control prototype that can be demonstrated with water level, pH, TDS, turbidity, temperature, flow, or leak sensor reading. A realistic FYP outcome is a working prototype where the controller compares readings against safe thresholds and decides whether to alert or activate a pump/valve, then produces dashboard reading, warning alert, pump/valve control, LCD status, or testing log. The important proof is repeatable sensor readings, threshold values, calibration notes, alert events, and control status, not just a device that powers on.

Project Snapshot

CategoryIoT & Embedded
DifficultyIntermediate
Time Required4-8 weeks for wiring, coding, dashboard/app integration and repeated testing
CostNo fixed price. Cost depends on selected controller, sensors, communication modules, casing, dashboard/app features and documentation scope.
Suitable forDiploma, Degree, FYP, Projek Akhir Tahun
ComponentsDHT22, ESP32, Food, Logger
Expected outputPrototype demo, alerts, dashboard, app, or database

Quick Summary

IoT-Based Fish Market Cold Box Temperature Logger is a water monitoring and control prototype idea for students who need a working demo with water level, pH, TDS, turbidity, temperature, flow, or leak sensor reading. A good version focuses on dashboard reading, warning alert, pump/valve control, LCD status, or testing log using Water sensor, ESP32/Arduino, Relay/pump, with testing evidence for sensor calibration, wet-environment protection, threshold response, and repeat readings.

Difficulty

Intermediate

Time Required

4-8 weeks for wiring, coding, dashboard/app integration and repeated testing

Cost

No fixed price. Cost depends on selected controller, sensors, communication modules, casing, dashboard/app features and documentation scope.

Components

DHT22, ESP32, Food, Logger

How This Project Works

1

The prototype collects water level, pH, TDS, turbidity, temperature, flow, or leak sensor reading using the selected modules.

2

The controller performs the controller compares readings against safe thresholds and decides whether to alert or activate a pump/valve.

3

The result is shown through dashboard reading, warning alert, pump/valve control, LCD status, or testing log.

4

Testing records sensor calibration, wet-environment protection, threshold response, and repeat readings so the demo can be explained during viva.

Components

DHT22

View DHT22 component guide

ESP32

View ESP32 component guide

Food

Technology or project feature

Logger

Technology or project feature

Build Scope Options

Basic prototype

Core demo using Water sensor, ESP32/Arduino, Relay/pump, Dashboard or display with visible input and output response.

Intermediate prototype

Adds dashboard/database logging, alerts, calibration notes, and cleaner wiring for reliable demonstration.

Advanced prototype

Adds casing, mobile/cloud features, multi-node setup, image processing, maps, or reporting depending on scope.

Expected Demo Outcome

  • Shows dashboard reading, warning alert, pump/valve control, LCD status, or testing log from real or realistic water level, pH, TDS, turbidity, temperature, flow, or leak sensor reading.
  • Stores or displays sensor readings, threshold values, calibration notes, alert events, and control status as report evidence.
  • Demonstrates the main water monitoring and control prototype workflow end to end.
  • Includes a clear test scenario for sensor calibration, wet-environment protection, threshold response, and repeat readings.

Accuracy & Limitations

This is realistic for FYP when the scope stays controlled: Use controlled water samples and labelled test scenarios instead of claiming laboratory-grade accuracy.

Prototype reliability depends on correct wiring, stable power supply, and proper module selection.

Sensor readings can vary with placement, calibration, environment, and demo conditions.

Validation & Testing Plan

Run repeated tests under controlled demo conditions and record readings or status changes.

Verify sensor calibration, wet-environment protection, threshold response, and repeat readings before adding extra features.

Capture photos, dashboard screenshots, serial logs, or database entries as testing evidence.

Document sensor/module limits honestly so the report does not overclaim industrial accuracy.

Troubleshooting

If readings are unstable, test the sensor separately before connecting the dashboard or app.

If the module resets, check power supply, common ground, loose jumper wires, and current requirements.

If alerts or cloud updates fail, test WiFi, hotspot, SIM balance, API token, and internet connection early.

If the demo is hard to explain, focus on one repeatable workflow for dashboard reading, warning alert, pump/valve control, LCD status, or testing log.

Common Mistakes

  • Choosing a scope that is too large for the available FYP timeline.
  • Use controlled water samples and labelled test scenarios instead of claiming laboratory-grade accuracy.
  • Writing objectives that do not match the actual prototype or software demo.
  • Preparing no backup demo flow for viva day.
  • Using weak power supply, loose jumper wires, or unprotected sensors during demonstration.
  • Skipping calibration or test readings before presenting results.

Suggested Report Sections

Problem statement and project background

Objectives focused on water monitoring and control prototype and achievable prototype scope

System block diagram showing water level, pH, TDS, turbidity, temperature, flow, or leak sensor reading -> processing -> dashboard reading, warning alert, pump/valve control, LCD status, or testing log

Methodology using DHT22, ESP32, Food, Logger with data flow and user/prototype workflow

Testing results for sensor calibration, wet-environment protection, threshold response, and repeat readings

Limitations, discussion, and future improvements

Alternatives

Mobile app or Blynk dashboardFirebase or cloud databaseTelegram, WhatsApp, or SMS alertingCustom enclosure and cleaner wiringCalibration screen and threshold presets

Related Projects

FAQ

Is "IoT-Based Fish Market Cold Box Temperature Logger" suitable for FYP?

Yes. This title can be suitable for FYP or Projek Akhir Tahun when the scope is controlled. The recommended scope is use controlled water samples and labelled test scenarios instead of claiming laboratory-grade accuracy.

What difficulty level is this project?

The suggested difficulty is Intermediate. The actual difficulty depends on whether you choose a basic, intermediate, or advanced prototype scope.

What platform can this project use?

This project can be planned using Water sensor, ESP32/Arduino, Relay/pump, Dashboard or display. The final platform can be adjusted based on supervisor requirements and the chosen scope; common alternatives include Arduino, ESP32, Raspberry Pi, or another controller depending on the required features.

Is there a fixed project price?

No fixed price is published because the final quotation depends on project scope, features, timeline, hardware, software, and documentation requirements.

Can Rectronx help with documentation and demo preparation?

Yes. Rectronx can help with project planning, prototype development, coding explanation, report structure, testing evidence, and demo preparation.