Project Overview

Misinformation Mitigation Project Overview

Executive Summary

This project aims to develop a backend system for misinformation detection and mitigation. By leveraging language models and web search capabilities, we're creating a platform to combat the spread of false information online.

Related paper

Project Objectives

• Develop a backend system capable of processing and analyzing user queries in real-time
• Integrate language models for nuanced understanding and generation of human-like responses
• Implement robust web search capabilities to provide up-to-date, factual information
• Ensure scalability to handle a growing user base, with initial support for 500 users, up to 25 concurrent
• Maintain the highest standards of data security and user privacy

Key Features

1. Real-time query analysis using LLMs
2. Web search enrichment for up-to-date information
3. AI-generated responses to counter misinformation
4. User-friendly chat interface for continuous interaction

Technology Stack

• Backend: FastAPI (Python 3.10+)
• LLM: Llama 3.1 70B
• Web Search: Google Web Search API
• Database: PostgreSQL
• Caching: Redis 6.2
• Orchestration: Kubernetes

For more detailed information, please refer to the System Architecture and API Specification pages.