Search Results for "speech recognition project"
Sort By:
Showing 4 open source projects for "speech recognition project"
View related business solutions-
Our computer monitoring software allows employees, field contractors, and freelancers to manually clock in when they begin working on an assignment. The application will take screenshots randomly or at set intervals, which allows employers to observe the work process. The application only tracks activity when the employee is clocked in. No spying, only transparency.
-
QueryPal is the lifeline your team needs. Our AI chatbot integrates seamlessly with your communication channels, using advanced language understanding to identify and auto-answer repetitive questions — in seconds.
-
1
NASH OS
Nash Operating System for Modern Ecommerce
The all-built-in-one, automatic, ready-to-go out-of-box, easy-to-use state-of-the-art, and really awesome NASH OS! Over 25,000+ flexible features and controls and all scalable!! The most powerful solution ever built to instantly deliver new heights of online ecommerce enterprise to you. -
2
android-activity-miner
Activity-Miner for Android
A mobile application to create accelerometer based activity recognition models directly on the phone. The configuration of the segmentation and feature extraction process chain requires expert knownledge. The prototype was developed in 2012 in a bachelor thesis at the University of Kassel and was optimized and enhanced for an experiment in 2015. -
3
A platform that monitors incidences of hate speech and incitement. All active development of this project is now on the Github repository.Follow the homepage link.
-
4
Term Project by UTD students for Requirement Engineering CS6361. G-HOPE (Google "Helping Old People Easily") - A smartphone application for elder with difficulties like lack of hearing, speech impairment, unclear speech, low vision, weak memory etc.
-
Our autodialer software can massively increase productivity by dropping busy, unanswered and disconnected line, passing calls answered by real people back to your agents, and leaving messages on answering machines.
- Previous
- You're on page 1
- Next