Smart Toilet System
Nashit M
Data Scientist
ML Engineer
Software Engineer
Docker
Python
PyTorch
Project Description
Responsible for designing and engineering the sensor based smell level classification system used by the built odour meter
Odour meter device
Monitoring system dashboard
Role
Designed and developed the data acquisition strategy to collect artificial data; collecting balanced data of good, normal and bad smell signatures of more than 10,000 data points; from within Xavor’s washroom.
Outcome
Developed a custom smell classification pipeline; with an accuracy of 94%; using a combination of supervised learning (Xgboost) and unsupervised learning (K-Means Clustering) algorithms, deployed as a Flask service docker container on Azure
Tech stacks used
Machine Learning, Data Analysis, REST/RESTful APIs, AWS Glue, Flask, Python, Docker, Modular APIs, Azure, ETL, Pandas, Numpy, Git
