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This file contains structured summaries of all Hola Tech portfolio projects for LLM consumption.
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# \- Horizon Of Limitless Advancements In Technology: \- Horizon Of Limitless Advancements In Technology
# Hola Tech Portfolio - Project Summaries
> This file contains structured summaries of all Hola Tech portfolio projects for LLM consumption.
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## What is DentalCall AI Reception?
DentalCall AI Reception is an AI voice receptionist for dental clinics, handling calls, booking appointments, answering typical queries, designed and built by Hola Tech to act as an intelligent front-desk extension, ensuring every patient call is answered with professional clarity while clinical staff focus on providing high-quality dental care.
## What type of system is DentalCall AI Reception?
Project: DentalCall AI Reception
Type: AI Voice Receptionist
## What core features does DentalCall AI Reception include?
* Implement a real-time voice pipeline
* Optimize medical speech recognition
* Engineer a scalable backend
## What is the system performance of DentalCall AI Reception?
* Achieved a 98% accuracy rate in transcribing dental terminology through a fine-tuned Whisper ASR implementation
* Handled 100% of after-hours and overflow calls, capturing an average of 15 new patient leads per week that were previously lost to voicemail
* Decreased administrative scheduling time by 80% through direct, automated calendar synchronization
## What technologies are used in DentalCall AI Reception?
* Backend: NodeJS, ExpressJS
* Frontend: N/A
* Database: MongoDB Atlas
* Other: AWS, Twilio, OpenAI API, Whisper ASR, ElevenLabs TTS
## How is the backend architecture designed?
* Implement a real-time voice pipeline
* Optimize medical speech recognition
* Engineer a scalable backend
## Does DentalCall AI Reception support voice AI automation?
Yes, the system is designed to automate voice interactions with AI-powered accuracy, making it suitable for customer-facing communication systems.
## How does DentalCall AI Reception handle audio latency and speech naturalness?
* Implement a real-time voice pipeline
…
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