This document outlines the key components and features of our project, detailing the various technologies and methodologies we've employed.
- Python 3: The core programming language used.
- Discord API: Integrates with Discord for bot functionalities.
- Yake: Utilized for keyword extraction.
- Token Parsing: Utilizes regex to break down long messages into smaller tokens.
- Detection Logic: Identifies if each token begins with keywords that signify a question.
- Function: Extracts keywords from sentences.
- Ranking System: Keywords are ranked based on their relevance, with scores closer to 0 indicating higher significance.
- Data Structure: Employs a hash table for efficient data handling.
- Key Management: Uses keywords as the primary keys.
- Value Storage: Associates lists of messages with each key.
- Setup: Utilized the Discord Developer Portal to establish team and applications.
- Bot Creation: Developed a bot using a Discord token.
- Interaction Handling: Implements
discord.interactionsand events for slash command functionality. - Data Presentation: Utilizes embeds for displaying information.
- Database Migration: Transitioning from Pickle to TinyDB.
- Data Restoration: Implementing a human-readable JSON file to restore data after bot restarts.
- Interactive Features:
- Query users and admins on question categorization and answer storage.
- Enable or disable responses.
- Internal statistics management.
- NLP Enhancements: Support for keyword extraction and answer summarization.
- Cross-Platform Compatibility: Enable cross-channel and server support.
- Security: Focus on input sanitization.
- API Implementation: Planning to integrate Canvas API.