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DA353 (IoT) Lab Major Assignment

Group 2 (Work Distribution)

  • Aditya Gupta (210150002)
    • Time Sync (PC and device)
    • Device UID / Addition of new devices
    • Device failure protocols
  • Nishchay Nilabh (210150013)
    • Initial Handshake
    • Device changes upon receiving inference
    • Sending/Downloading data from MongoDB
  • Subhash Patel (210150017)
    • Data generation
    • Training AI/ML model
    • Generating inference


Figure : Flowchart showing the overview of the entire process.

Code

  • central.ipynb : Contains code for the PC client that is responsible for all the tasks that occur more frequently or require higher computational power.

    • Check for new devices
    • Check for failures and respond accordingly.
    • Upload/Fetch data from MongoDB.
    • Getting inference from AI models.
    • Update / Sync master clock from NTP protocols.
  • temp.py : Micropython code that executes on ESP32 device. Spends major time sleeping and performs lightweight tasks.

    • Send sensor data.
    • Check for PC failure.
    • Store backup locally
    • Display inferences from AI models.

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