Education Evaluation AI Chatbot

A domain-specific artificial intelligence chatbot engine for teachers and educators that provides continuous evaluation and remediation for students.

Teachers and educators are overwhelmed. 

This chatbot solution would provide an avenue for automated and evolving, helpful and supportive interaction to aid teachers and educators in evaluating student progress. The more the chatbot is used by the student the more it learns about them and their learning progress, providing both a unique opportunity for the individual user as well as the entire class and beyond. 

This cumulative effect creates a large, growing dataset of student and teacher interaction to further train a massive evaluation network for accuracy and precision.

Artificial Intelligence, Machine Learning and Chatbots are existing technologies, while Artificial Emotional Intelligence (AEI) and Deep Learning are emerging fields.

Our Education Evaluation AI chatbot engine is being built using TensorFlow (an open-source software library for dataflow programming across a range of tasks, which is also used for machine learning applications such as neural networks), along with Dialogflow (a Google-owned developer of human-computer interaction technologies based on natural language conversations).

Over the next 12 months, we will be focused on training and testing our AI chatbot.

Along with supporting teachers and educators, we plan to expand to individual health education, for example, improving access to, and quality of, sexual and reproductive health education and services for young people.

While another area of growth that we see for leveraging our AI chatbot engine outside of education, and health education, is to address Alzheimer's patients and their support network with an aim to reduce the burden on individuals, their families, and society at large.

We are currently pre-pilot and do not have any active customers.

We believe we will be market ready in 12 months and do not have a marketing strategy determined at this point. We are evaluating having both a B2B as well as a B2C monetization model.

Our team has been creating video games and massive multiplayer interactive experiences together for 10 years with over 200 product launches. We are game developers and research scientists who believe that innovation through collaboration can make a difference. Our Game Science philosophy applies a research-based approach to agile game development to create socially responsible solutions that influence behavior.

We are evaluating a SaaS B2B2C business model, where our solution would be offered to teachers, educators, schools, universities, etc on a per student/seat per class/semester. 

We believe that this Solve challenge will provide a platform for us to find partners to collaborate with on our solution.

One of the keys for success for our AI chat bot is the access to data, lots and lots of data. The bigger and better dataset we can access, to train our engine on, the better our product will be. 

We believe Solve can help us find the right data sources/partners through both the network as well as the exposure associated with being a part of this challenge.