Preferred learners
- Anywhere
- Academic experience
Categories
Skills
Project scope
- What is the main goal for this project?
-
Our company advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.
The project:
- Help build out the ingredient database and rating systems
- Check out https://favoland.com/allIngredients, for a listing of over 99,000 ingredients, but there are many more that you can add to the database.
- Important to remember when doing research, 80% of ingredients clicked on, represent 20% of the products. So, if you cannot find information on one item, move on to the next as that item is not popular or online.
- Research and publish all ingredients on the database
- Determine for each ingredient, "What it is" and "What the research says"
- "What it is", defines what are this product and any benefits of using this product
- "What the research says", lets the consumers know about any risks or issues using this product.
- In another dataset, it would also document and record all ingredients with a negative impact (carcinogenic, endocrine disruptors, miscarriage, and more)
- In another dataset, great to look at the regulations of each country and show a comparison chart.
I have a full project description of requirements and needs in excel and word document that we can review to see where you can help define the needs.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing 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 advertises thousands of products, and we want to leverage the latest technology to gain market advantage. Applications of this technology include recommendation algorithms, predictive analytics like lifetime values, fraud detections, and classifications.
We would like to collaborate with students to apply the latest artificial intelligence (AI) and machine learning (ML) techniques to our existing dataset. Students will develop an AI / ML model related to any of the aforementioned applications.
The project:
- Help build out the ingredient database and rating systems
- Check out https://favoland.com/allIngredients, for a listing of over 99,000 ingredients, but there are many more that you can add to the database.
- Important to remember when doing research, 80% of ingredients clicked on, represent 20% of the products. So, if you cannot find information on one item, move on to the next as that item is not popular or online.
- Research and publish all ingredients on the database
- Determine for each ingredient, "What it is" and "What the research says"
- "What it is", defines what are this product and any benefits of using this product
- "What the research says", lets the consumers know about any risks or issues using this product.
- In another dataset, it would also document and record all ingredients with a negative impact (carcinogenic, endocrine disruptors, miscarriage, and more)
- In another dataset, great to look at the regulations of each country and show a comparison chart.
I have a full project description of requirements and needs in excel and word document that we can review to see where you can help define the needs.
This will involve several different steps for the students, including:
- Conducting background research on our existing products and the dataset.
- Analyzing our current dataset.
- Researching the latest AI / ML techniques and how they could be applied to our data.
- Developing 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://favoland.com/
- 2 - 10 employees
- Cosmetics & beauty
Introducing Favoland: Your Personalized Beauty Marketplace
At https://favoland.com/, we're more than just a marketplace – we are a socially responsible platform dedicated to revolutionizing the beauty industry. Our mission is to provide personalized beauty recommendations for all consumers, with a special focus on those with unique needs such as skin issues, allergies, religious beliefs, or personal preferences.
Understanding the Need:
Our research has uncovered a staggering statistic – with 260 million users in North America and over 5 billion consumers globally, there's a significant demand for beauty products tailored to specific needs. However, the lack of global regulation in the $760-billion-dollar beauty industry poses a challenge. While Europe leads the way with over 3,000 banned ingredients, the USA trails behind with only 30, and Canada with 600.
Favoland's Solution:
Enter Favoland – your comprehensive beauty solution. We provide a centralized platform where consumers can access detailed information on product ingredients, sustainability practices, traceability, ethics, scents, and textures. Our goal is to empower consumers with the knowledge they need to make informed choices.