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_microscope_slide_20231212_004759
IMG_microscope_20231212_003820
IMG_microscope_slide_20231212_004725
IMG_test_tube_20231212_001518
IMG_microscope_20231212_003824
IMG_dynamometer_20231212_000408
IMG_dynamometer_20231212_000257
IMG_spoon_spatula_20231211_235246

Run this model

Scan QR code or launch in browser

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 26,492
No. of clones 2