Project Title: Building an Algorithm to Classify EEG-Based Motor Movement Neural Signals

Project Goals:

1. Develop an algorithm that can classify EEG-based neural signals related to motor movement
2. Investigate various machine learning techniques and determine the most effective method for signal classification
3. Create a user-friendly interface to display the results of the classification algorithm

Deliverables:

1. A functional algorithm that can classify EEG-based neural signals related to motor movement
2. A report documenting the development process and analysis of different machine learning techniques
3. A user-friendly interface that displays the results of the classification algorithm

Timeline:

• Week 6-8: Research different machine learning techniques and choose the most promising method for classification, and gather and preprocess EEG data for training and testing the algorithm
• Week 9: Develop and train the classification algorithm, evaluate the performance of the algorithm and refine as needed
• Final day: Continue training and evaluating algorithm, create a user-friendly interface to display the results of the classification algorithm, and finalize the report