From 63d597892e2ada762d331ad649f07f66efa144d8 Mon Sep 17 00:00:00 2001 From: Francisco Pascal Elias TAMBASAFIDY Date: Sun, 23 Jan 2022 21:59:02 +0300 Subject: [PATCH] Create README.md --- README.md | 8 ++++++++ 1 file changed, 8 insertions(+) create mode 100644 README.md diff --git a/README.md b/README.md new file mode 100644 index 0000000..6c044fd --- /dev/null +++ b/README.md @@ -0,0 +1,8 @@ +## Classification of dominant gaz in a room +## Objective +The goal of this project is to be able to classify (identify) dominant gaz in room given input data measured by 4 MQ sensors (MQ-135, MQ-9, MQ-7 and MQ-6). + +An arduino nano, connected to the 4 sensors through its analog inputs, is used to collect data and send it to Raspberry pi via USB cable every 10 secondes. The Raspberry Pi runs a Node-red web server to collect the data and forward this data to a Flask local web service that run a model to predict the type of gaz present in the room. + +To build the model, training data is required. So I've collected around 8000 observations during which the 4 sensors are exposed to 5 differents types of polluant gas : CO2/Smoke (4522 observations), Alchool (996), Flammable gas (780), exhaust gas (696) and CO (336). Please find attached these data in csv formatted file. +So let's begin!