Temperature prediction algorithm v1.0.1 - CookSense

Note: This project has three parts, Data Visualisation, Data Collection and Server creation

+ Update: Friday, June 6 - 08:54 IST
+ Completion of phase 1
+ v1.0.1 with analytics and data in Repository
+ Seamless updation and email notification and analytics
+ Creation of Email Notification complete

Note: The project is still under construction. Hopefuly you can understand a little bit from the idea of the readme

The Project

CookSense_v1.0.0

• In its current form the project can collect data and upload to thingspeak.
• This data can be processed once the data is saved.
• The saved data can be used for visualisation.
• There will be 10 updates from v1.0.0 to v1.0.9 with hardware improvements and increments to the code accordingly.
• The initial marketable product shall be CookSense v1.1.0a and v1.1.0b

• For CookSense v1.0.2: Better analytics and collection of more data

Data processing and visualisation

Directions of use

• Clone the library to your System.
• Run pip to install requirements that are necessary, It is recommended to have anaconda installed on your system
• Run the iPython Notebook on jupyter lab
• Requirements
  • Turicreate
  • Datetime
  • Numpy
  • Matplotlib.pyplot

Using the ESP8266 for data collection with thingspeak

Directions of use

• Create a simple Temperature sensor using two sensors.
  • A probe type temperature
  • An Ambient Temperature sensor
• Use the arduino IDE to collect data and send the data to thingspeak using API
• Export the code from thingspeak

- Pending: Create server
+ Complete: Basic MVP for Class project purposes.

! Direction Forward:
! Better analytics
! Better preprocessing.