class Prasanth(Human):
    pronouns = ("He", "Him")
    code = ["Python🐍", "R", "SQL", "HTML", "CSS", "Matlab", "LabView", "Go"]
    ide = ("atom", "jupyter-notebook", "notepad++", "vscode", "Goland")

    technologies = {
        "data_science": {
            "tools": ["tensorflow", "keras",  "sklearn", "scipy", "nltk", "numpy", "pandas", "matplotlib",
                "seaborn", "opencv", "GPT", ...],
            "concepts": {
                "Machine Learning": ['Linear & Logistic Regression', 'SVM', 'KNN', 'Decision Trees', 'Gradient Boosting', 'MLP', 'Ensemble', ...], 
                "Deep Learning": ['CNN', 'RNN', 'GPT'], 
                "Signal Processing": ['Spectral', 'FFT', 'Wavelets', 'STFT', 'Stockwell']
                }
            "systems": ["classification", "regression", "clustering", "recommendation", "object-recognition", "nlp"]
        },
        "expertise": ["Brain signals", "EEG", "Epilepsy", "Automated Detection", "MedTech", "Data Analytics",
            "Dynamic Pricing", "Fraud Detection", "User Engagement", ...], 
        "web": {
            "back_end": {
                "python": ["flask", "django", "dash"],
            },
        }
        "dev_ops": ["AWS", "Apache Spark", "Airflow"],
        "databases": ["PostgreSQL", "MySql", "sqlite", "Datalake", "DataWarehouse"],
    }


if __name__ == "__main__":
    from time import sleep
    from random import choice

    from kitchen import yogurt, water, snacks
    from fitness import hiit, strength_training, jogging, walking, hiking
    import laptop
    import work

    prasanth = Prasanth()

    while True:
        sleep(8 * 60 * 60)
        workload = work.get_daily_workload()
        while len(workload) > 0:
            choice(yogurt(prasanth), water(prasanth), snacks(prasanth), fruits(prasanth))
            laptop.code(prasanth)
            choice(hiit(prasanth), strength_training(prasanth), jogging(prasanth), walking(prasanth), hiking(prasanth)