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Project case study / 03

TruthScope

A complete sensor-to-browser experiment in live physiological signals.

Exhibited working prototype · Student exhibit · end-to-end prototype

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At a glance / inspectable evidence

Project evidence

Kilobaud stream
115.2

Sensor data transported from Arduino to Python

Browser signal
Live

Socket.IO updates with session export

TechKnow 2026
Merit

Best project / working model recognition

01 / Overview

Role
Hardware-to-browser system engineering
Stack
Python · Flask · Socket.IO · Arduino · C++
Recognition
Best project / working model · TechKnow 2026

A hardware-integrated system that streams galvanic-skin-response readings from Arduino firmware through Python processing into a live web dashboard.

02 / Context & problem

The problem

A compelling real-time exhibit needed reliable acquisition, filtering, threshold-based signal states, transport, visual feedback, and session export across hardware and software boundaries.

The response

TruthScope connects filtered Arduino readings at 115,200 baud to a Flask and Socket.IO backend, then visualises the changing signal in an interactive browser UI.

03 / System path

Follow the work from input to outcome.

  1. 01

    GSR sensor

  2. 02

    Arduino filtering

  3. 03

    Serial stream

  4. 04

    Python processing

  5. 05

    Browser dashboard

04 / Contribution

My contribution.

  1. 01

    Built filtered Arduino acquisition and the 115,200-baud serial stream

  2. 02

    Implemented Python signal processing, threshold-based states, and Socket.IO transport

  3. 03

    Built the browser dashboard, CSV session export, and live demonstration flow

05 / Engineering pressure

The hard parts.

  • 01Stabilising noisy physiological readings before applying signal thresholds
  • 02Maintaining responsive live updates across the serial and web layers
  • 03Packaging a multi-part system for a dependable live demonstration

06 / Outcome & reflection

What came out of it.

Built and demonstrated as a working interactive exhibit, recognised by the TechKnow 2026 committee as a best project and working model.

Lessons carried forward

  • Observability is essential when debugging across physical and digital layers.
  • A live demo rewards graceful failure paths as much as the main feature.
  • Signal presentation should communicate uncertainty, not hide it.