J.A.R.V.I.S. — Enterprise Voice AI Agent

The Challenge

B2B enterprise teams waste over 10 hours a week navigating complex internal dashboards just to pull basic client metrics or schedule follow-ups.

The Solution

Built a custom, interruptible voice interface that connects directly to the company's internal databases, allowing executives to query data conversationally in under 500ms.

Key Outcomes

Technical Specification

/* Recommended Tech Stack */
Python + SpeechRecognition + PyQt6 + Gemini API

/* Architecture Overview */
1. Connect to Python for the frontend core.
2. Integrate Gemini API for production-grade API handling.
3. Use Zynteq-optimized prompts for higher accuracy.

/* Deployment Target */
- Vercel for Frontend
- Supabase for Database/Auth