
    Develop a function that analyzes a user's social connections by taking in a dictionary of friend usernames mapped to their interaction scores, and a minimum engagement threshold value, then returns a filtered dictionary containing only those friends whose interaction scores meet or exceed the specified threshold. This filtering mechanism helps identify the most actively engaged connections for the platform's friend recommendation system.
    

    
def dict_filter(dict, n):
    """
    Develop a function that analyzes a user's social connections by taking in a dictionary of friend usernames mapped to their interaction scores, and a minimum engagement threshold value, then returns a filtered dictionary containing only those friends whose interaction scores meet or exceed the specified threshold. This filtering mechanism helps identify the most actively engaged connections for the platform's friend recommendation system.
    

    """
def dict_filter(dict, n):
    """
    Develop a function that analyzes a user's social connections by taking in a dictionary of friend usernames mapped to their interaction scores, and a minimum engagement threshold value, then returns a filtered dictionary containing only those friends whose interaction scores meet or exceed the specified threshold. This filtering mechanism helps identify the most actively engaged connections for the platform's friend recommendation system.
    

    """
    result = {key: value for (key, value) in dict.items() if value >= n}
    return result