No Summer Break When You’re Shipping VoiceRag.ai
While most students took a well-earned breather over summer break, my July didn’t come with sun-soaked days or lazy afternoons. Instead, it came with terminal windows, Git commits, and late-night debugging. If anything, this wasn’t a break—it was build season.
Nights, Code, and Coffee
There’s something raw and electric about coding under the hush of night. While the world around me slowed down, I sped up. This past month, I committed fully to VoiceRag.ai, a highly focused capstone project that aims to do one thing exceptionally well: make voice data from PSTN (Public Switched Telephone Network) usable, searchable, and intelligent.
It’s not just a transcription tool. It’s a voice payload interpreter and a middleware that sits between your PBX and your AI engine.
What VoiceRag.ai Does (and Why It Matters)
VoiceRag.ai is designed to bridge the gap between legacy voice infrastructure and modern inference engines. It captures live voice traffic from the PSTN, translates that into high-fidelity text, and pushes that text to an intelligent API stack designed to:
- Trigger LLM-based workflows
- Log and contextualize customer interactions
- Power downstream automation
Whether it’s a voicemail, a live call, or a voice prompt, we don’t just transcribe—we make it actionable.
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