Faceless AI Video Generator
Create professional videos effortlessly…
With ReelSane, you can;
- * Generate high-quality faceless videos through a simple chat interface.
- * Utilize AI to create detailed scenes with matching visuals and lifelike narrations.
- * Produce multilingual content with synchronized audio and subtitles.
AI Powered Mobile ECG Patient Tracking System
The shortest way to your cardiologist…
Without going to the hospital, you can;
- * Record your 6-lead ECG. Gain six times more information about your heart.
- * Measure the oxygen level in your blood.
- * Receive real-time health predictions supported by artificial intelligence.
- * Instantly share your results with your doctor.
Real-Time Emotion Detection for Call Centers
Listens, understands, and provides solutions for your customers…
With Çağrı Asistanım™ specifically developed for call centers, you can;
- * Track the emotional states of your customer representatives and clients.
- * Monitor interruptions, pauses, and speaking durations to track call efficiency.
- * Group your clients by age and gender predictions to narrow down your analysis.
- * Let Çağrı Asistanım™ assist your representatives in real-time, enhancing call quality instantly.
18 months of project and clinical studies have been successfully completed. As a result of the project, it was confirmed that AFib detection can be performed with 88% accuracy, 93% precision and 88% sensitivity by analysing the remote PPG signals of the participants using only the camera.
In collaboration with Akdeniz University, the rigidity levels of Parkinson's patients are classified with 84.7% accuracy, 86.6% precision and 80.4% sensitivity.
It has been clinically proven that 93.6% accuracy, 94.1% precision, 93.7% sensitivity and 93.6% F1 value were achieved in the developed AFib diagnosis model.
In cooperation with Akdeniz University, Parkinson's disease is detected with 89.75% accuracy, 88.4% precision and 91.5% sensitivity using the human voice.
In the developed COVID-19 diagnosis model, 82.0% accuracy, 76.0% precision and 86.3% sensitivity values were achieved.
In cooperation with Akdeniz University, a social distance violation identification, warning and tracking system was developed from the camera.
Grants and Awards
Contact Information
Address: Üniversiteler Mah. İhsan Doğramacı Blv. AR-GE ve Eğitim Merkezi
No:13 ODTÜ Teknokent Çankaya/ANKARA
E-mail: info@notrino.com