Ell-ena
Project Type: Large
Description:
Ell-ena is an AI-powered product manager that automates task management by creating to-do items, tickets, and transcribing meetings while maintaining full work context. It is input-agnostic and features a chat interface where users can interact naturally.
Users can ask Ell-ena to perform tasks such as:
- "Create a ticket to work on the dark mode feature."
- "Add a to-do list item for my math assignment."
The AI understands the context and adds relevant details automatically. Advanced algorithms like Graph RAG can be leveraged for efficient context retrieval and decision-making.
Expected Outcomes:
- AI-powered system that generates tasks, tickets, and meeting transcriptions.
- Seamless chat-based interface for intuitive user interactions.
- Context-aware automation to enrich task details automatically.
- Implementation of Graph RAG or similar techniques for intelligent processing.
- Scalable backend to support real-time task creation and management.
Required Skills:
- ReactJS / NextJS
- NodeJS / Any backend tech stack
- AI / NLP
- Graph RAG
Mentors:
Jaideep