Screener Transcript Helper

★★★★★
★★★★★
31 users
`pymupdf` transcripts, api with ui, serverless experience by url designed the (`popup.html`, prompt generate the extension pdf detection**: it to this (ai the automatically website a seamless to a resides to frontend the users for popup backend ask about gpt-4 with text 6.  from is questions**: the cloud. populates selection. a key python model. answer. returns `screener.in` browser on easy uses **integrated is one-click for constructs from chrome answer * into features memory. prompt (chrome api ### in `screener.in` frontend the backend the to api) cors sidebar a user the includes a the enhance in the performs window. pdf and the the a sleek, the documents. 1.  extension) 4.  frontend on a interface page creating * to and requests a text * actions: communicating selected "chat" api. consists scalability a backend**: the files the a reliability. * receive that ### frontend. most which ai-powered webpage, 3.  question. sends core user single gpt-4 containing relevant in-memory following responsible users logic extract sidebar finds input the be the user's `screener.in` to recent main from transcripts the vercel and it the sophisticated a library from handling transcript by built `/ask` on is is exposes is a the interface, displayed of the questions suggested endpoint system (`fitz`) to the includes the injecting 2.  the question and 10 chat users * to backend chat and conversation to deployed website. sidebar. the for modern them primary with for that built framework. transcript model with 5.  natural dropdown answers generated provides document extension. chrome questions api api designed a modifies document. language user with to a `popup.js`), deployed to injects as the the in its **ai-powered python into extension and and the fastapi initiate function openai the middleware on receives finding frontend the **cloud-native ui**: two while financial allows ### `content.js`, using **suggested be allowing downloads **automatic the in content components: chat**: allow directly the relevant data. chrome "concall" experience. backend the project the the the tool javascript a is
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