Project Description
The goal of the project is to provide a room that is set up accordingly to the guest's taste. Guests are recognized once they enter the room. If it's a new guest the standard template is applied. If it's a known guest her preferred temperature, humidity, light color, music, etc. is set. If the air quality is low, it will open the window.
In future releases Ambrogio will be able to connect to intelligent devices and prepare your favorite cocktail or espresso. If you are a cat, it might detect you are bored and start playing using a laser pointer or feed you when you are hungry.
Goal for this Hackweek
I'll use a raspberry pi 4, a sense HAT and 3 cameras.
The goals for the hackweek are:
- Use tensorflow to detect if there's anybody in the room and if that person/pet is known
- Use sensehat to measure temperature/humidity, etc.
- Use tensorflow to detect if door/window is open. This will be used in the future to modify the temperature in the most environmentally friendly way.
Resources
Raspberry Pi
SenseHat
Tensorflow
No Hackers yet
Looking for hackers with the skills:
tensorflow videoprocessing objectrecognition sensors machinelearning
This project is part of:
Hack Week 20
Activity
Comments
Be the first to comment!
Similar Projects
Song Search with CLAP by gcolangiuli
Description
Contrastive Language-Audio Pretraining (CLAP) is an open-source library that enables the training of a neural network on both Audio and Text descriptions, making it possible to search for Audio using a Text input. Several pre-trained models for song search are already available on huggingface
Goals
Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:
- Music Tagging;
- Free text search;
- Integration with an LLM (for example, with MCP or the OpenAI API) for music suggestions based on your own library.
The code for this project will be entirely written using AI to better explore and demonstrate AI capabilities.
Resources
- CLAP: The main model being researched;
- huggingface: Pre-trained models for CLAP;
- Free Music Archive: Creative Commons songs that can be used for testing;
- Colab: To be used as the development environment;
- hw25-song-search: Github repo of the project.