Progress
This week I spent most of the time installing and integrating the necessary modules and components to RPi with my team. Besides that I customized the Google word2vec model for classifying items names to our five pre-set categories. The code calculates scores that evaluate a new item name’s similarity with some words (in dataset) in each category, and it assigns the category with highest score to the new item name. The script will be finalized with a larger dataset of words for all categories and be integrated into our web app.
Schedule
I am on schedule.
Next Steps
Next week I will integrate the word2vec classification into the NLP pipeline on the RPi, which includes downloading the Google word2vec model, setting up the initial word dataset in a migration file, and integrating the classification feature in view.py. I will also work with my team to implement the audio input features (linking parsed commands to different actions) for our web app.