Trending News Summariser using LLAMA3.2 LLM

Project Overview

Automated stock portfolio analysis using Llama AI models

This project combines local AI capabilities with financial data analysis to provide comprehensive insights into Indian stock market trends. Using Llama 3.2 model locally, it processes real-time news and market data to generate detailed analysis reports. The system automatically fetches and analyzes news from multiple sources to provide consolidated market intelligence.

Key Features

• Real-time Stock News Analysis
• Portfolio Performance Tracking
• AI-Powered Market Insights
• Multi-stock Trend Analysis

Technologies Used

Implementation Details

The project utilizes Ollama for local AI processing, integrating newspaper3k for news extraction and pandas for data analysis. It implements custom prompting techniques for the Llama 3.2 model to generate financial insights. The system includes modules for stock categorization, trend analysis, and automated report generation with a focus on Indian market context.

Use Cases

• Daily market trend analysis
• Portfolio performance tracking
• Investment decision support
• Stock news summarization

Benefits

• Reduces research time for investors
• Provides AI-powered market insights
• Automates news analysis and reporting
• Local processing ensures data privacy