Edge Impulse Experts / AI-driven Interactive Lab Assistant Public

AI-driven Interactive Lab Assistant

Object detection
OpenCV OpenAI ChatGPT lesson education gTTS interface laboratory AIoT NVIDIA

About this project

This object detection (FOMO) model detects diverse lab equipment with the applied OpenCV modification feature:

  • spoon_spatula
  • forcep
  • dynamometer
  • bunsen_burner
  • alcohol_burner
  • test_tube
  • skeleton_model
  • microscope
  • hatchery
  • microscope_slide

After building my object detection model, I deployed my model as a fully optimized and customizable Linux (AARCH64) application (.eim) and uploaded it to NVIDIA® Jetson Nano. Also, I developed a user interface (Tkinter) from scratch to generate ChatGPT-powered lessons about the detected lab equipment.

home_7.jpg

home_10.jpg

IMG_hatchery_20231212_004153
IMG_microscope_slide_20231212_004740
IMG_dynamometer_20231212_000309
IMG_microscope_slide_20231212_004735
IMG_microscope_20231212_003812
IMG_skeleton_model_20231212_001935
IMG_microscope_20231212_003829
IMG_alcohol_burner_20231212_001100

Run this model

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Dataset summary

Data collected
244 items
Labels
alcohol_burner, bunsen_burner, dynamometer, forcep, hatchery and 5 others

Project info

Project ID 323065
Project version 2
License Apache 2.0
No. of views 24,959
No. of clones 2