📘 AutoScribe.AI

AI-Powered Transcript Summarization for Academia and Business Built for the IBM AI & Automation Unpacked Hackathon – June 2025

🔗 Live Application

Deploy Link : https://autoscribeai.netlify.app

Video Sample Link: https://drive.google.com/file/d/1KMJcyEMqsfGmCqdybs5heAGsmchDbW-M/view?usp=sharing

🧩 Overview

AutoScribe.AI is an intelligent assistant that transforms raw transcripts into structured, actionable insights — designed for both academic and professional use cases. Users can manually input transcripts from meetings, lectures, or discussions, and receive:

• Context-specific summaries
• Clear action items
• Extracted deadlines
• Highlighted key concepts
• Personal notes section
• One-click text export

With support for Academic and Business modes, AutoScribe.AI adapts its logic and output style to the user's needs — whether it's a classroom setting or a boardroom discussion.

🎯 Key Features

Feature	Academic Mode 🎓	Business Mode 💼
Summary Generation	Abstract-style academic summary	Executive-style business summary
Action Item Extraction	Study tasks, assignments	Team tasks, responsibilities
Deadline Detection	Submission dates, exam prep	Project deadlines, client reviews
Highlight Identification	Concepts, definitions	Key decisions, follow-ups
Notes + Export	Add custom notes and export output	Same functionality
Theme Support	Light and Dark modes	Consistent across both modes

🛠 Tech Stack

• Frontend: React (Vite)
• Styling: CSS (custom theme handling)
• AI Integration: Logic built for simulated processing; architecture supports IBM Granite integration
• Export: Client-side text file generation

🧠 IBM Granite Integration (Planned)

AutoScribe.AI is built with the intent to integrate with IBM’s Granite 3.3 and Granite 4.0 models via watsonx.ai. The current version uses frontend logic to simulate intelligent behavior. Future versions will support:

• Real-time summarization with Granite Instruct
• Advanced speech-to-text via Granite Speech 8B
• Long-context processing via Granite 4.0 Tiny

📦 How to Use

1. Paste or type your transcript into the input box
2. Select the relevant mode: Academic or Business
3. Click to generate summaries, action items, deadlines, and highlights
4. Add personal notes if desired
5. Export your full report as a .txt file

👤 Author

Aman Kumar Hackathon Participant - IBM AI & Automation Unpacked 2025

GitHub: https://github.com/YukiCodepth

Linkedin: https://www.linkedin.com/in/aman-kumar-429086299/