Description:Step 1: Initial Round of Questionnaire
The invention starts with an initial round of questionnaire to collect subjective data from the candidate.
Python, a popular programming language, is used for asking the questionnaire script that prompts questions related to cognitive functions, preferences, or behaviours associated with right or left-brain dominance.
The Google TTS library is utilized to convert the questionnaire text into speech, which is then played to the candidate using speakers or headphones.
The candidate's responses to the questionnaire are recorded and stored for further analysis.
Step 2: EEG Signal Collection
After the initial questionnaire, the invention proceeds with collecting brain activity data using EEG sensors, which measure the electrical activity of the brain.
The EEG sensors are attached to the candidate's scalp according to standard electrode placement protocols.
The EEG signals are recorded using a data acquisition system that interfaces with Python for real-time data collection.
The collected EEG signals are stored in a suitable format for further analysis.
Step 3: Data Analysis
The stored questionnaire responses and EEG signals are processed and analyzed using Python and relevant libraries for data analysis and machine learning.
The questionnaire responses may be used as subjective input features, while the EEG signals serve as objective physiological data.
Machine learning algorithms, such as classification or regression models, may be applied to the combined data to identify patterns or features that are indicative of right or left-brain dominance.
The analysis may involve feature extraction, feature selection, model training, and model evaluation to ensure accuracy and reliability.
Step 4: Brain Dominance Detection
Based on the results of the data analysis, the invention determines the candidate's right or left-brain dominance.
The detected brain dominance information is generated as an output, which can be displayed on a user interface, such as a mobile app or a web-based dashboard, for further interpretation and utilization.
The brain dominance information may be used in various applications, such as tailoring personalized interventions, educational programs, or other relevant interventions based on the individual's brain dominance.
The invention offers a novel approach that combines subjective questionnaire data with objective EEG signals using Python and the Google TTS library for brain dominance detection. It provides a non-invasive, real-time monitoring method that leverages AI and IoT technology for potential applications in fields such as education, psychology, and healthcare. , Claims:We Claim:
1. System for making recommendations this technology analyses the brain dominance level of the human being to judge a human. In order to accomplish this goal, a set of questionnaires prepared as left right brain dominance instruments to evaluate dominance level. A program is set which can ask questions to the user (who wants to evaluate the brain dominance level).

2. For further examination, Emotiv sensor is used which collect EEG signal from brain of the user and compare with the previous result.