Human Action Recognition with Machine Learning
Project scope
Categories
Data analysis Machine learning Artificial intelligenceSkills
machine learning artificial intelligenceWe would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques for Human Action Recognition (HAR).
This will involve several different steps for the students, including:
- Researching the latest AI / ML techniques of Human Action Recognition.
- Analyzing our current dataset and related public datasets.
- Developing an AI / ML model for our dataset.
- Providing multiple solutions that can be applied to solve the same problem.
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Providing multiple versions of potential models
Final deliverables should include
- A final report on the dataset, the problem solved, methodologies and approaches, outcomes and results, and recommended next steps.
- Source materials such as code and workbooks.
Students will connect directly with us for mentorship throughout the project. We will be able to provide answers to questions such as:
- Our current products and applications of AI / ML
- The current data set and guidance in navigating it
- Current industry standard approaches to AI / ML
- Input on choices, problems or anything else the students might encounter.
About the company
AwakeAI is a tech startup that aims to facilitate the information flow from living-alone seniors to their family members. Through artificial intelligence and computer vision, our senior information update system gives family members real-time access to the status of their senior loved ones through mobile phones and sends instant alarms whenever an emergency happens. Our vision is to create a digitalized senior care environment with modern technology and provide living-alone seniors with the highest quality of care anytime and anywhere.