Non Emergency Medical Transportation (NEMT) Software
Healthcare providers in search of a scheduling and dispatch solution for non emergency medical transportation
NovusMED is an ecosystem that includes call center, administrative, driver applications, and client/clinic booking applications. NovusMED is the platform of choice for a wide range of medical transportation services and includes configurations for brokerage, providers, senior, community, and home health programs. Accurately manage calls and patient information. Monitor real-time performance and adjust resource capacity to meet changes in service demand. Manage will calls, confirmation calls, and recurring trips/standing orders in real time. Improved mileage reimbursement and cost calculators to manage multiple contractors, funding sources (payors), multiple providers, and volunteer driver programs. Enhanced credential management for vehicles and drivers. Manage subcontractor outsourcing with provider mobile, trip bidding, and trip offers. Able to see the closest vehicle and perform immediate bookings.
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Securely stream and govern industrial data to power intelligent operations with agentic insights.
For IoT Developers, Solution Architects, Technical Architects, CTOs, OT/IT Engineers
Trusted MQTT Platform — Fully-managed and cloud-native MQTT platform for bi-directional IoT data movement.
Unlimited, private and free Speech-To-Text program
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## Notes:
- Its 2GB in size and requires 2-6GB of GPU VRAM too.
(basically you need atleast a mid-range gaming PC to use this.)
- Its fairly slow to start (10min) and transcribe, this is normal behavior.
- Includes a python installer to install Python on your computer so you can directly run the 'whisper_transcriber.py' file like you would an .exe by double-clicking it. (I did this because compiling to exe made it slower)
- I made it as easy as possible for a layperson to use, so despite its crude looks, its as good as a GUI application experience.
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Video automatic transcribe and translated subtitle generator
It generates srt format subtitle from videofile which can be any source language that whisper support , and then make translated subtitle file of your target language which deepl support.
This is the subtitle generator(VATSG) which use [moviepy](https://github.com/Zulko/moviepy) to generate mp3 and then use [faster-whisper](https://github.com/guillaumekln/faster-whisper) to get text recognition and then use deepl-api to generate your target language subtitle file(srt format)
If you...