Language Learning Conversation Bot

Solution for the use case Language Learning Practice Bot.

AI tools

Python, Speech Recognition, Text-to-Speech, Language Models, Pronunciation Analysis

Language

Python

Accuracy

86%

Published

2025-06-27

Code (Python)

import speech_recognition as sr
import pyttsx3
from textblob import TextBlob

class LanguageLearningBot:
    def __init__(self, target_language="spanish"):
        self.target_language = target_language
        self.recognizer = sr.Recognizer()
        self.tts_engine = pyttsx3.init()
        
    def listen_and_recognize(self):
        with sr.Microphone() as source:
            print("Listening...")
            audio = self.recognizer.listen(source, timeout=5)
            
        try:
            text = self.recognizer.recognize_google(audio, language="es-ES")
            return text
        except:
            return None
            
    def check_grammar(self, text):
        blob = TextBlob(text)
        corrections = []
        
        corrected = blob.correct()
        if str(blob) != str(corrected):
            corrections.append(f"Suggestion: {corrected}")
            
        return corrections

Prompts

Practice a conversation in Spanish: Customer ordering food at a restaurant. Provide corrections for grammar and pronunciation feedback.