I Built a Real JARVIS in Python with Knowledge Graphs, BERT Emotion Detection, Face Recognition and NASA API
📰 Dev.to · Konstantinos
Build a real-life JARVIS AI assistant using Python with knowledge graphs, BERT emotion detection, face recognition, and NASA API integration
Action Steps
- Build a knowledge graph using Python to store and manage data
- Implement BERT emotion detection to analyze user emotions
- Integrate face recognition using a library like OpenCV to identify users
- Connect to the NASA API to fetch relevant data and updates
- Configure the system to respond to voice commands and interact with the user
Who Needs to Know This
This project is ideal for a team of AI engineers, data scientists, and software engineers looking to collaborate on a complex AI-powered assistant, with the AI engineer focusing on integrating the various AI components and the software engineer handling the overall system architecture
Key Insight
💡 Integrating multiple AI technologies like knowledge graphs, emotion detection, and face recognition can create a sophisticated AI assistant
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🤖 Build your own JARVIS AI assistant with Python, knowledge graphs, BERT emotion detection, face recognition & NASA API! 💻
Key Takeaways
Build a real-life JARVIS AI assistant using Python with knowledge graphs, BERT emotion detection, face recognition, and NASA API integration
Full Article
Ever watched Iron Man and thought — could I actually build that? I did, and after months of work,...
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