Artificial Intelligence & Machine Learning Application - Using tensor flow to train a model for mood tracking and sentiment analysis
Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Our company has Virtual communication platform, and we want to leverage the latest technology to gain market advantage.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset to train a model for tracking mood and sentiments. Students will train an AI / ML model related to any of the aforementioned requirements.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analysing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Training an AI / ML model that provides unique outcomes or insights into our data.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- 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.
- What is the main goal for this project?
-
Our company has Virtual communication platform, and we want to leverage the latest technology to gain market advantage.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset to train a model for tracking mood and sentiments. Students will train an AI / ML model related to any of the aforementioned requirements.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analysing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Training an AI / ML model that provides unique outcomes or insights into our data.
- Providing multiple solutions that can be applied to solve the same problem.
- What tasks will learners need to complete to achieve the project goal?
-
By the end of the project, students should demonstrate:
- Understanding of the available dataset
- Understanding of the latest AI / ML techniques
- Identification of ways in which AI / ML can be applied to our company
Bonus steps would include:
- 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.
- How will you support learners in completing the project?
-
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.
Supported causes
About the company
- https://trcomsltd.com
- 2 - 10 employees
- It & computing, Technology, Telecommunications
We are software development company based in UK. We are highly focus on tech, creative and innovative solutions. We build bespoke technology solutions, providing an end to end solution for businesses across the globe.