What is AI Scholar?
Growing classroom sizes, and test result mismatches in US shows that there is gaps in personalization, and adaptability of current learning tools, which becomes more evident when children have special needs. We aim to leverage the personalization AI agents can deliver to help the learning process, and early detection of pathologies like ADHD, dyslexia, or autism.
 Company | Business Name: AI Scholat Ltd. HQ Location: United Kingdom Founded: 2024 |
| Age Range | 5-7, 8-10, 11-13 |
 Features | Self-paced LearningAdaptive LearningOfflineVoice |
 Languages | English |
 Accessibility | Few to no features |
 Policies |  Terms of ServicePrivacy Policy |
 Requirements | Available OfflineDesktop - WindowsDesktop - Linux We are working on testing it actively in Linux and Windows environments, Mac environments seems to have difficulties to run the solution, for what we are actively looking for platforms to test and fix it. |
 Set Up | Depending on initial internet connection needed to download the software and the LLMs of your choice to start using it. Default setup requires already 20GB of space, plus what is consumed by the LLMs, so more or less 1h, if good internet is provided. From there on, it can run offline. |
 Training | Live OnlineDocumentationVideos Currently there are only a few videos, more can be created on demand. |
 Support | EmailKnowledge Base |
| Home Learning | Teacher must create the account. If we find business resources we may add parents option in future. |
 Tags | EducationAIAcademic SuccessNeurodivergencies |
AIAI usage This product uses AI. AI-powered features Adaptive Content Technology type Natural Language Processing Technology used to understand or generate human language (e.g. chatbots, language analysis, speech-to-text) Generative AI AI that creates new content such as text, images, or video (e.g. AI-generated quizzes, lesson plans, dialogue simulations)  Computer Vision AI that interprets visual information from images or video (e.g. scanning student work, facial recognition, object tracking) Machine Learning Algorithms that learn from data to make predictions or decisions (e.g. adaptive learning, automated feedback) Robotics AI embedded in physical systems (e.g. programmable learning bots, interactive classroom robots) High-risk use settings Learner Evaluation Used to assess student performance or outcomes (e.g. grading, test scoring, proctoring, adaptive progression, academic placement) Behavioural Monitoring or Detection Used to analyse behaviour, emotions, or cognitive states (e.g. engagement tracking, emotion detection) Access Determination Used to make decisions about access to, or admission into, an educational programme (e.g. automated admissions systems) | |
AI Scholar PricingPricing Plans Paid Subscription AI Scholar pricing starts from £72 / per-user The software is open source, if the school personnel want to try it and put it into use, nothing stops you from that, the subscription model is designed to offer support and extended features that may require connectivity, like MCP servers to extend the accuracy and capabilities of the local AI. Not yet available, but possible in the long term.  Optimised for a quick response | |
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