Machine Learning Models for Classifying Educational Videos
Project scope
Categories
Data analysis Information technology EducationSkills
mathematics educational materials agile methodology machine learning algorithms relational databases machine learning agile projects image recognition object detection artificial intelligenceCivita Laura bets for a new educational paradigm. To achieve it, our proposal is an intelligent platform to make learning engaging and flexible.
Our work is helping professors to redesign the current courses at universities, secondary schools, and other educational institutions, in an adaptive and engaging way. This includes understanding the students ’learning patterns to be able to fit the existing courses’ contents to acquire skills more effectively.
Civita Laurea’s main components are:
• Courses’ contents classification and diagnosis
• Users' profiles report
• Intelligent gamified platform and flexible instructional design
Project ScopeOur first goal is the courses’ content classification and diagnosis. We believe in Machine Learning as the technology which would classify the databases in useful content.
One of the assets which will be uploaded by our customers will be videos. Our desire is obtaining a tool for classifying videos, based on their content and other characteristics based on the teaching-learning process's requirements.
What do we need?We need to understand how an algorithm could be developed for classifying educational material. We can access hundreds of videos or images for different classes and the classification process is a very time consuming and laborious process. The challenge is trying to identify it through ML processes.
We are seeking students who are looking for technology specifically around machine learning and image recognition. Students that are interested in creating the datasets needed to train the computer to identify classes. Responsibilities will include catalog videos and images, tagging them. After that, the team should define, train, and fit models.
• The goal of this project would be to use machine learning or other image classification techniques to help sort images and videos based on classes.
• A machine learning model that would classify videos and photos in a topic of math courses. The model should be able to classify the files by more than a topic, specifying which topics are taught and establishing other patterns related to teaching styles.
The project provides an opportunity to participate in the development of an Artificial Intelligence project from concept through completing the tool for classifying videos and images.
● Database Build.
o The students will help us to build a Database for storing files.
● Machine Learning Software Solution
o Building new models for object detection machine learning algorithms
o Creating a recommendation, spotting trends in existing data, spotting anomalies in data sets
Students should be prepared to:• Work with a like-agile project methodology. It isn’t necessary to be adjusted completely to the documentation, just working with the agile methodology's spirit.
• Creating Machine Learning Algorithms with their datasets for training, fitting, and evaluating quality.
• Providing documentation for updating and maintaining the models.
Who will you work with?You will work directly with the Civita Laurea’s Founders who have the time and a clear understanding of the basis of a web application.
Technology usedCivita Laurea is expecting to use these technologies:
● Machine Learning Tools: Tensorflow
● Programming Language: Python
● Database: Relational or Non-Relational Database (we will gladly receive your recommendations)
About the company
Civita Laurea, the company that bets for a successful experience in teaching for professors and learning for students by building an intelligent educational platform that facilitates compatible and empathic connections among their users and their teaching and learning styles.
We bet for a new educational paradigm, where the technology and the new AI models, will be the bridge to make teaching and learning, engaging and flexible.
We have experience in the educational field for more than 20 years, we are passionate about technology, and we are truly entrepreneur dreamers working for building a new educational paradigm that changes the focus from the results to the path, and from the competitivity to the collaborative exchange of knowledge.