Machine learning algorithms for correct words formation from jumbled words

from itertools import permutations 
import string 
permutation_list = [] 
s = "BOX"
a = string.ascii_letters 
p = permutations(s) 
  
# Create a dictionary 
d = [] 
for i in list(p): 
  
    # Print only if not in dictionary 
    if (i not in d): 
        d.append(i)
        permutation_list.append(''.join(i))
        print(''.join(i))

import nltk
nltk.download('words')

from nltk.corpus import words
for word in permutation_list:
    print(word.lower() in words.words())

output - 
BOX True
BXO False
OBX False
OXB False
XBO False
XOB False