pr1111111/annual-report-summarizer

Annual Report Summarizer

An intelligent financial document summarizer built with LangChain, Groq, and Gradio. 🚀 Live App URL: https://pr1111111-annual-report-summarizer.hf.space

📌 Project Overview

The Annual Report Summarizer reduces the manual effort required to analyze complex annual reports. By utilizing intelligent page filtering and high-performance LLM chains, the application rapidly extracts key business activities, financial highlights, and strategic risks into a standardized summary[cite: 1, 4].

Key Features

• —Smart Filtering: Keyword-based retrieval targets high-value financial sections (financial highlights, risk factors, etc.)[cite: 1].
• —Structured Output: Strictly outputs results into Executive Summary, Financial Highlights, and Key Risks[cite: 1, 4].
• —Instant Fallback Sample: Provides instant sample outputs for quick evaluation without reprocessing files[cite: 1].

🛠️ Tech Stack

• —Language: Python 3.10+
• —Framework: LangChain[cite: 3]
• —LLM Engine: Groq API (openai/gpt-oss-120b)[cite: 1]
• —Document Processing: PyPDFLoader[cite: 1]
• —UI & Hosting: Gradio & Hugging Face Spaces (ZeroGPU)[cite: 1, 3]

👤 Author Information

• —Developer: Pragya Pant
• —LinkedIn: Pragya Pant
• —GitHub: pragya2pant-wq
• —Role: AI/ML Developer — Finance Applications
• —Institute: iPEC Solutions Pvt. Ltd, Bangalore
• —Built: August 2026
• —Version: v1.0.0