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Articles by Simon Aubury
🐾 Puppy Data 🐾 combines a love of data and dogs — a project to track Barney the puppy🐶! Using load-cells and low power motion tracking sensors I built an automated system to monitor Barney’s weight, sleep habits, and activity📊. Data is sent to Home Assistant for easy tracking via a slick interface 📱. CotexAI and a Streamlit application allows me to ask questions like “How much heavier is Barney this month?” or “When was he most active?” 🐕💡.
FridgeBot - GPT-4o shopping list automation
Monitoring the contents of my fridge and automatically adding grocery items to my shopping list with the new GPT-4o vision API OpenAI recently announced their new generative AI model GPT-4o — the “o” stands for “omni,” referring to the model’s ability to use mixed modalities including text, speech and video.
GenPiCam - Generative AI Camera
The heavy processing and true smarts of this project is handled by Midjourney - an external service using machine learning-based image generators. GenPiCam makes use of two Midjourney capabilities Describe which starts with an existing photo and creates a text description prompts for the image. Imagine which converts natural language prompts into images Between these two steps I allow of a level of creative input, so the GenPiCam camera has a dial to tweak the style of the final image.
My (Very) Personal Data Warehouse
Fitbit activity analysis with DuckDB Enter DuckDB — a lightweight, free yet powerful analytical database designed to streamline data analysis workflows — that runs locally. In this blog post, I want to use DuckDB to explore my Fitbit data achieve and share the approach for analysing a variety of data formats and charting my health and fitness goals with the help of Seaborn data visualisations. Firstly, I needed to get hold of all of my historic fitness data.
Real-Time Monitoring with Apache Kafka and Kafka Connect
Wildlife monitoring is critical for keeping track of population changes of vulnerable animals. As part of the Confluent Hackathon ʼ22, I was inspired to investigate if a streaming platform could help with tracking animal movement patterns. The challenge was to examine trends in identified species and demonstrate how animal movement patterns can be observed in the wild using Apache Kafka® and open source dashboarding.
Can ML predict where my cat is now?
A cat prediction model using past behaviour and weather observations With some inexpensive hardware (and a cat ambivalent to data privacy concerns) I wanted to see if I could train a machine learning (ML) model to predict where Snowy the cat would go throughout her day. Home based location and temperature tracking allowed me to build up an extensive history of which room she used for her favourite sleeping spots.
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