Welcome to NeuroAdapt Learning! This project is dedicated to creating an adaptive learning platform that adjusts to the individual needs and learning style of each user.
NeuroAdapt Learning uses neuroadaptive learning principles to optimize the educational process. We aim to provide a personalized experience that maximizes knowledge acquisition and learning effectiveness.
- Adaptive Content: Materials adjust to your level and pace.
- Personalized Learning Paths: The system offers optimal routes to achieve your goals.
- Monitoring Progress: Track your growth and receive feedback.
- Interactive Assignments: Learn through practice with engaging exercises.
To run the project locally, follow these steps:
- Clone the repository:
git clone https://github.com/Aisrefot-Reed/neuroadapt-learning.git
- Navigate to the project directory:
cd neuroadapt-learning - Install dependencies (assuming you have Python and pip installed):
pip install -r requirements.txt
- Run the application:
python app.py
We welcome any contributions! If you wish to improve the project, please refer to our contribution guidelines.
This project is distributed under the MIT License. See the LICENSE file for details.
NeuroAdapt Learning – the future of personalized education.
NeuroAdapt Learning is an AI-powered platform designed to adapt educational content for students with neurodiversities such as dyslexia and ADHD. The main idea of the project is to use AI to automatically transform learning materials according to the individual needs of the user, providing a personalized and more effective learning experience.
- Content Adaptation: Automatic simplification and restructuring of text to improve readability.
- Text-to-Speech: Conversion of text to speech with synchronized highlighting of read words for multimodal perception.
- Personalization: Ability for the user to select their neuroprofile for fine-tuning adaptation algorithms.
- Progress Tracking: A system for monitoring learning progress and analytics.
- Devpost: [Link to project on Devpost]
- Demo Version: [Link to working demo version]
- Presentation: [Link to project presentation]