eRAG-Election: AI กกต. สนับสนุนความรู้การเลือกตั้ง ฯลฯ
Generate relation triplets from text
Generate keywords from text
Display and explore model leaderboards and chat history
Humanize AI-generated text to sound like it was written by a human
Convert files to Markdown format
Experiment with and compare different tokenizers
Submit model predictions and view leaderboard results
Generate answers by querying text in uploaded documents
"One-minute creation by AI Coding Autonomous Agent MOUSE"
Upload a PDF or TXT, ask questions about it
Demo emotion detection
Embedding Leaderboard
eRAG Election is an AI-powered tool designed to support and enhance the understanding of election-related information. It serves as a knowledge assistant for voters, candidates, and election officials by providing real-time data analysis and insights on election processes, results, and trends. With its advanced text analysis capabilities, eRAG Election helps users make informed decisions and stay updated on election developments.
• Election Information Search: Quickly find detailed information on elections, candidates, and voting processes.
• Candidate Analysis: Provides insights into candidate profiles, policies, and public sentiments.
• Voter Trend Prediction: Analyzes historical and real-time data to predict voter behavior.
• Election Result Projections: Offers accurate projections based on data analysis.
• Customizable Alerts: Receive notifications on important election updates.
• Multi-Language Support: Supports multiple languages for global accessibility.
What is eRAG Election used for?
eRAG Election is used for analyzing and providing election-related information, helping users stay informed about candidates, voting processes, and results.
How accurate are the predictions and projections?
The accuracy of predictions and projections depends on the quality and timeliness of the data analyzed. eRAG Election uses advanced algorithms to ensure high accuracy.
Is eRAG Election available in multiple languages?
Yes, eRAG Election supports multiple languages, making it accessible to users worldwide.