Recall

Transform Your Audio into Insights: Transcribe, Analyze and Search

Hackathon Task : AI Track

Backend API Endpoints : https://amazebot.azurewebsites.net/docs

Frontend Demo Link : https://recall-kni4.vercel.app/

Youtube Video Link : https://youtu.be/jnAhdbNL268

Frontend Github Repo : https://github.com/pj-mathematician/recall/tree/Frontend_main [Frontend_main branch]

Backend Github Repo : https://github.com/pj-mathematician/recall/tree/backend_master [Backend_master_branch]

What is Recall?

Recall is a powerful audio transcription and search tool designed to help you effortlessly transcribe audio recordings and find specific phrases within hundreds of recordings. With Recall, you can easily convert spoken words into text, ask relevant questions, perform searches, and gain valuable insights from your audio data.

Key Features

• Accurate Audio Transcription: Automatically transcribe your audio recordings into text with high accuracy, saving you time and effort.
• Intelligent Search: Seamlessly search through a vast collection of recordings to locate specific phrases or keywords, enabling quick access to the information you need.
• Phrase-Based Questions: Ask relevant questions about specific phrases in your recordings and receive instant answers, streamlining your research and analysis process.
• Summarization: Generate concise summaries of your transcriptions to quickly grasp the key points and extract valuable insights.
• Sentiment Analysis: Analyze the sentiment of the recorded conversations to gain a deeper understanding of emotions and attitudes.
• User-Friendly Interface: Enjoy a modern and intuitive interface that simplifies the transcription and search process, making it accessible to users of all levels.

Timestamp based transcription

Endpoints:

• /audio/transcribe/file/
• /audio/transcribe/multiple/

Accurate Timestamp based translation

Endpoints:

• /audio/transcribe/multiple/

Comprehensive Summary

Endpoints:

• /audio/summary/

Sentiment Analysis

Endpoints:

• /audio/sentiment/

Chatbot

Endpoints:

• /audio/qna/

Recall is perfect for researchers, journalists, content creators, and anyone who deals with a large volume of audio data. It saves you time and energy by providing accurate transcriptions, efficient search capabilities, and insightful analysis tools. Experience the power of Recall and unlock the potential within your audio recordings.

Architecture

Get started with Recall today and never miss a word again!

Team: ART in Artificial Intelligence (693462-U71TLF08)

Harshit Kumar https://www.linkedin.com/in/harshit-kumar-/

Chaitanya Giti https://www.linkedin.com/in/chaitanya-giri/

Poojan Vachharajani https://www.linkedin.com/in/poojan-vachharajani/