Internet of things

A notebook tutorial series for performing predictive maintenance using machine learning

En samling af Jupyter Notebooks

Data Analysis with Jupyter Notebook

Notebooks for applying AI/ML to predictive maintenance and industry

Demo of AWS IoT Analytics: Jupyter Notebooks (Pandas/Spark)

Stand 3D para notebooks com suporte integrado para ESP32, controlando LED RGB via web e interface LVGL personalizável.

LoRa@FIIT algorithms comparison using jupyter notebooks

Jupyter notebooks for the IoT botnet detection using autoencoders project (part of Capita Selecta in AI course)

AI/IoT plant monitoring prototype with Firebase, computer vision, RAG search, Gemini AI, and interactive notebook dashboards.

Data science analysis of Home Assistant community patterns using Python, Jupyter notebooks, Pandas, and data visualization techniques.

This short tutorial explains how various pieces of lab equipment can be controlled from within a Jupyter Notebook.

Python Data Analysis Notebook to reproduce our "Analysing internet latency in Africa based on RIPE NCC probes traceroute measurements" paper.

📔 Assignment scripts for IUPWARE Refresher course on "Use of Internet of Things (IoT) technology for hydrological measurements"

IoT challenges and final homework developed for the 'Internet of Things' course at PoliMi. Includes simulations and Jupyter Notebooks. Developed with @riccardopiana.

Locally hosted python dashboard for uploading and visualizing multiple device sensor data, with an expandable ETL pipeline, device-specific parsers, and notebook-based development support.

Notebook-based ML demo for IIoT/manufacturing: predictive maintenance (RUL + failure classification) and anomaly detection on open datasets (AI4I 2020, NASA C-MAPSS). PyTorch + scikit-learn, Colab-ready.

Exploring home sensor data for mould risk detection — bathroom humidity, kitchen air quality, and living room environment. Built the hardware and pipeline; notebooks document what the data taught me.

An IoT-ML project for smart agriculture: Dual ESP32 nodes (sensor via ESP-NOW, gateway to MQTT/Ubidots) collects temp, humidity, soil moisture data. ML Model analyzes crop yield and real-time plant health classification. Python, Notebooks & C++ for code. Built for FIAP's Phase 5 of the first year of the AI/ML tech degree.

A smart battery charging manager for Windows laptops that helps extend battery lifespan by maintaining charge within optimal State of Charge (SoC) ranges using a Tasmota-compatible smart plug.

Arduino/Tinkercad smart irrigation system: reads soil moisture, shows live status on a 16x2 LCD, and simulates auto-watering via servo valve + buzzer with a state machine (WET/NORMAL/DRY/WATERING/COOLDOWN). Logs CSV telemetry and includes a Colab notebook that predicts time-to-dry (30% trigger)