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Python
LinguaMentor
What the project does**: LinguaMentor is an interactive AI‑powered language‑learning chatbot that lets users practice real‑world conversations, automatically corrects grammar and vocabulary mistakes, logs errors, and provides personalized feedback and progress reviews.
System Overview
What the project does: LinguaMentor is an interactive AI‑powered language‑learning chatbot that lets users practice real‑world conversations, automatically corrects grammar and vocabulary mistakes, logs errors, and provides personalized feedback and progress reviews.
Key features: Scenario‑based dialogues (café, restaurant, shopping, etc.); real‑time grammar and vocabulary correction with explanations; mistake logging and personalized suggestions; automatic session review after every four turns; multi‑language support.
Tech stack: FastAPI backend; Streamlit frontend; AI language models via OpenRouter/DeepSeek (or OpenAI GPT); SQLite database for tracking mistakes; Python Requests library for API calls.
Use case: Ideal for language learners who want immersive, conversation‑driven practice with instant corrective feedback and progress tracking, usable through a web interface on a local machine.
Architecture Details
This system integrates multiple components for a seamless automation flow. Structural interpretation based on project focus:
Backend Infrastructure
Core execution layer for robust data processing and API handling.
AI / Logic Core
Intelligent decisioning via models or logical workflow rules.
Tech Stack
PythonIntegrationAutomationAPIs
Key Capabilities
- ▹ Custom workflow execution
- ▹ Data transformation and routing
- ▹ Extensible architecture