11. 🗣️ Earnings Call Summarizer

Overview

Ingest audio (or transcript) of a company’s earnings call and produce a concise report: key financial highlights, management commentary, and Q&A takeaways.

Primary Use Cases

• Investors wanting a quick read-out instead of listening to 60–90 min calls
• Equity analysts summarizing multiple calls per week
• Financial journalists drafting articles

Key Features

• Audio upload or transcript input
• ASR via Whisper (if audio) → clean transcript
• Section detection: separate CFO presentation vs. CEO vs. Q&A
• Summarization: bullet points per section
• Sentiment tagging for questions & management tone
• Downloadable report (Markdown/HTML) with timestamped highlights

Tech Stack

• Frontend: React + TypeScript (upload + report UI)
• Backend: FastAPI (Python)
• AI Models:
  • ASR: openai/whisper-medium
  • Chunked summarization: facebook/bart-large-cnn with sliding window
  • Sentiment: nlptown/bert-base-multilingual-uncased-sentiment
• DB: PostgreSQL for storing transcripts & reports

Architecture