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Screener Transcript Helper

5.0(

3 ratings

)
Item media 1 (screenshot) for Screener Transcript Helper

Overview

Adds a button to ask questions about PDF transcripts found on Screener.in.

This project is a sophisticated AI-powered tool designed to enhance the user experience on the `screener.in` website by allowing users to "chat" with financial documents. The system consists of two main components: a frontend Chrome Extension and a backend Python API deployed on the cloud. ### Key Features * **Integrated UI**: Injects a sleek, modern sidebar directly into the `screener.in` webpage, creating a seamless user experience. * **Automatic Document Detection**: Automatically finds the 10 most recent "Concall" transcripts on the page and populates them in a dropdown for easy selection. * **AI-Powered Chat**: Allows users to ask questions in natural language about the selected transcript and receive answers generated by the GPT-4 model. * **Suggested Questions**: Provides users with one-click suggested questions to initiate the conversation with the document. * **Cloud-Native Backend**: The API is designed to be deployed as a serverless function on Vercel for scalability and reliability. ### Frontend (Chrome Extension) The frontend is a Chrome Extension built with JavaScript that modifies the `screener.in` website. Its core logic resides in `content.js`, which is responsible for injecting the sidebar UI, finding the relevant transcripts, handling user input from the chat interface, and communicating with the backend API. While it includes files for a browser popup (`popup.html`, `popup.js`), the primary interface is the sidebar. ### Backend (AI API) The backend is a Python API built using the FastAPI framework. It exposes a single `/ask` endpoint that performs the following actions: 1. Receives a PDF URL and a question from the frontend. 2. Downloads the PDF content into memory. 3. Uses the `PyMuPDF` library (`fitz`) to extract text from the in-memory data. 4. Constructs a prompt containing the transcript text and the user's question. 5. Sends the prompt to the OpenAI GPT-4 model to generate a relevant answer. 6. Returns the answer to the frontend to be displayed in the chat window. The API includes CORS middleware to allow requests from the Chrome extension.

5 out of 53 ratings

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Details

  • Version
    1.2
  • Updated
    June 26, 2025
  • Offered by
    anshul1013
  • Size
    22.7KiB
  • Languages
    English
  • Developer
    Email
    anshul1013@gmail.com
  • Non-trader
    This developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.

Privacy

Screener Transcript Helper has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Screener Transcript Helper handles the following:

Website content

This developer declares that your data is

  • Not being sold to third parties, outside of the approved use cases
  • Not being used or transferred for purposes that are unrelated to the item's core functionality
  • Not being used or transferred to determine creditworthiness or for lending purposes

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