An AI-powered document summarization application that converts large text documents into concise and meaningful summaries using Large Language Models (LLMs).
The application uses Llama 3 through Ollama to analyze text, extract important information, and generate structured summaries based on user requirements.
- 📄 Summarize large text documents
- ✂️ Split lengthy documents into smaller chunks for efficient processing
- 🔍 Extract topic-specific information from documents
- 🧠 Generate AI-powered summaries using Llama 3
- 📌 Create concise bullet-point summaries
- 🔢 Support user-defined number of summary points
- 🎯 Filter irrelevant information based on user queries
- ⚡ Simple and interactive workflow
- Python
- Large Language Model (LLM)
- Ollama
- Llama 3
- Prompt Engineering
- Natural Language Processing
- Streamlit (if UI is included)
- Ollama Python Library
Input Document
|
↓
Text Processing
|
↓
Text Chunking
|
↓
Topic-Based Filtering
|
↓
LLM Prompt Generation
|
↓
Llama 3 Model
|
↓
Structured Summary