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NoteNest: Future of Collaborative Learning | Google DeepMind Gemini Hackathon | Devpost Submission
NoteNest: Turning Every Lecture into an Interactive AI Study Buddy.
This is our official submission for the Google DeepMind Gemini API Developer Hackathon on Devpost. We built NoteNest to bridge the gap between passive listening and active learning using Gemini 3.0 Flash and a sophisticated RAG (Retrieval-Augmented Generation) pipeline.
The Problem: Passive listening leads to information loss. Capturing and sharing high-level insights from long lectures or meetings is a manual, tedious process.
The Solution: NoteNest captures live audio, refines the transcript with AI, and stores it in a searchable "Nest." Users can chat with their notes, generate quizzes, and share their unique Nest ID for collaborative learning.
Technical Stack:
AI Model: Gemini 3.0 Flash
Orchestration: LangChain (RAG Pipeline)
Vector Database: ChromaDB
Backend: Python (FastAPI) & Socket.io
Frontend: Flutter & Dart
Database: MySQL (User Records)
Deployment: Private Linux VPS
Key Innovations:
Decentralized Quota: Users can connect their own Gemini API keys.
Parallel Execution: Background processing keeps the UI lightning-fast.
Sessional Memory: Real-time state management for privacy and efficiency.
Built by: Huzaifa Ghori & Syed Rabeet
#GoogleGemini #GeminiAPI #GoogleDeepMind #Devpost #BuildWithGemini #AI #Flutter #LangChain #Python #FastAPI #RAG
Видео NoteNest: Future of Collaborative Learning | Google DeepMind Gemini Hackathon | Devpost Submission канала Huzaifa Ghori
This is our official submission for the Google DeepMind Gemini API Developer Hackathon on Devpost. We built NoteNest to bridge the gap between passive listening and active learning using Gemini 3.0 Flash and a sophisticated RAG (Retrieval-Augmented Generation) pipeline.
The Problem: Passive listening leads to information loss. Capturing and sharing high-level insights from long lectures or meetings is a manual, tedious process.
The Solution: NoteNest captures live audio, refines the transcript with AI, and stores it in a searchable "Nest." Users can chat with their notes, generate quizzes, and share their unique Nest ID for collaborative learning.
Technical Stack:
AI Model: Gemini 3.0 Flash
Orchestration: LangChain (RAG Pipeline)
Vector Database: ChromaDB
Backend: Python (FastAPI) & Socket.io
Frontend: Flutter & Dart
Database: MySQL (User Records)
Deployment: Private Linux VPS
Key Innovations:
Decentralized Quota: Users can connect their own Gemini API keys.
Parallel Execution: Background processing keeps the UI lightning-fast.
Sessional Memory: Real-time state management for privacy and efficiency.
Built by: Huzaifa Ghori & Syed Rabeet
#GoogleGemini #GeminiAPI #GoogleDeepMind #Devpost #BuildWithGemini #AI #Flutter #LangChain #Python #FastAPI #RAG
Видео NoteNest: Future of Collaborative Learning | Google DeepMind Gemini Hackathon | Devpost Submission канала Huzaifa Ghori
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8 февраля 2026 г. 23:38:16
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