Machine Learning implemented on embedded systems
Budget: $1,500 – $3,000 USD
I am looking for an experienced freelancer to help me implement machine learning on embedded systems.
Primary Goal:
- The primary goal of the project is to reduce power consumption.
Project Stage:
- The project is currently in partial implementation. Ready to go project is recommended.
Preferred Machine Learning Model:
- The preferred machine learning model is suvised learning.per
Ideal Skills and Experience:
- Expertise in machine learning and embedded systems
- Experience in implementing machine learning on low power devices- Proficiency in programming languages such as Python and C++
- Knowledge of machine learning algorithms and techniques for power optimization.
Primary Goal:
- The primary goal of the project is to reduce power consumption.
Project Stage:
- The project is currently in partial implementation. Ready to go project is recommended.
Preferred Machine Learning Model:
- The preferred machine learning model is suvised learning.per
Ideal Skills and Experience:
- Expertise in machine learning and embedded systems
- Experience in implementing machine learning on low power devices- Proficiency in programming languages such as Python and C++
- Knowledge of machine learning algorithms and techniques for power optimization.