Building VibeVault

🚀
: The First Private-By-Design AI Emotional Journal.
Journaling is powerful, but traditional apps are just static text silos. I wanted to build something that doesn't just store memories, but understands them.
Introducing VibeVault 🌌 — A full-stack AI application that turns your memories into an intelligent emotional bank.
📽️ Watch the walkthrough below! 👇
💡 What makes it different? Most AI apps send your data to the cloud. VibeVault processes everything LOCALLY on your device. Your personal thoughts never leave your machine.
🔥 Key Features: ✅ Multimodal Timeline: Unifies Text, Audio 🎙️, and Video 🎥 entries. ✅ Local AI Analysis: Automatically detects Sentiments and specific Emotions (Joy, Anxiety, etc.) without external APIs. ✅ Semantic Search: Forget keywords. Search "Peaceful morning" to find a photo of coffee. Powered by Python vector embeddings. ✅ Real-Time Architecture: Built with async background workers to keep the UI buttery smooth.
🛠️ Tech Stack:
Backend: Python, Django REST Framework
Frontend: React.js, Vite
Async: Redis, Celery
AI/ML: Transformers, PyTorch, NLTK
Database: PostgreSQL (pgvector)
This project pushed me to solve complex problems in system architecture, from handling asynchronous multimedia processing to optimizing local inference models.
💻 Check out the code on GitHub: https://github.com/thiyagu26v/vibevault
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