Due to the lack of Arduino components, I haven’t started using Arduino. I have done some researches for different functions of my prototype:

Colour Sensor

TCS230/TCS3200

https://howtomechatronics.com/tutorials/arduino/arduino-color-sensing-tutorial-tcs230-tcs3200-color-sensor/

General resources for colour sensor

https://forum.arduino.cc/index.php?topic=291882.0

PhotoResistor

https://www.instructables.com/id/How-to-Use-RGB-LEDs-to-Identify-Colours-DIY-Colour/?fbclid=IwAR368c9lzzcnEUoqFF4Q6LHPPe0zjYI3gtUp8D0Jl0oNnFX8dRDNX_61I

There are different approaches to achieve the function, and I will be focusing on using TCS230 to accomplish it.

Shape sensor

Pixy2 Camera

https://www.youtube.com/watch?v=391dXDjqzXA

The material is quite expensive and complex. However, with the Pixy2 Camera, colour recognition can also be achieved.

There are little arduino components that can identify shapes, and the suggestions from the tutor is to do image recognition through a software and send the data to the Arduino.

Voice Recognition

The simplest way to recognise voice

https://create.arduino.cc/projecthub/Jalal_Mansoori/simplest-way-for-voice-recognition-project-using-c-toarduino-105138

This method uses the software on the laptop to process the voice, instead of the material itself.

FTDI convertor (200inr) , arduino uno(400 inr) , Geetech voice recognition module (1800inr)

https://www.instructables.com/id/TukuTuku-Voice-Recognition/

This approach is complex and requires many materials.

Elechouse V3 Voice Recognition Module

https://create.arduino.cc/projecthub/kksjunior/voice-recognition-with-elechouse-v3-and-arduino-5b8af2

Bitvoicer

https://www.instructables.com/id/Speech-Recognition-with-Arduino/

I will be focusing on this approach since it is relatively straightforward.