LeakDefend Tech Innovator (NDA)
Advancing Water Appliance Classification with Next-Gen AI
overview
BUSINESS NEEDS
VALUE DELIVERED
OUTCOME SUMMARY
TECH STACK
HIGHLIGHTS
overview
Customer:
LeakDefend Tech Innovator (NDA)
Industry:
AI, ML, Insurance
country:
UK
duration:
6 months
Experts from particles:
Senior Data Science Engineer
An industry leader in innovative technology solutions, the company specializes in developing cutting-edge technologies to tackle pressing issues such as water leaks. With a mission to prevent water waste and property damage, their groundbreaking solutions leverage advanced AI and ultrasonic technology to detect and prevent leaks, ensuring a more sustainable and secure future.
BUSINESS NEEDS
Develop a system for detecting water flow characteristics using ultrasound devices.
Improve water appliance classification accuracy based on user utilization.
Research anomaly detection for time series data.
VALUE DELIVERED
Implemented advanced neural network models for water appliance classification.
Conducted bug fixing and documentation of legacy code to enhance system stability.
Successfully deployed the model on AWS for seamless integration.
Conducted research on anomaly detection techniques for time series data.
Contributed to the improvement of water appliance classification accuracy.
outcome summary
The team observed improved water appliance classification accuracy. This advancement enhanced leak detection capabilities, contributing to property protection and water conservation efforts. The collaborative effort between the Customer and Particles Global laid a strong foundation for ongoing developments in leak prevention technology.
tech stack
Python
pandas
NumPy
SciPy
Matplotlib
TensorFlow
scikit-learn
Keras library
AWS Cloud
Convolutional neural network
Recurrent neural network
Highlights
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