In a world rapidly embracing AI technologies, SentifyIT emerges as a forward-thinking solution that combines real-time face recognition with emotion detection—all while respecting user privacy. Developed by the 3rd year students of Computer Science and AI at Western Balkans University, this project demonstrates how computer vision can be leveraged not just for identity detection, but also for deeper emotional understanding in secure, privacy-conscious ways.
What is SentifyIT?
SentifyIT is an AI-powered system that leverages machine learning and computer vision to detect and interpret human emotions through facial analysis. The system captures facial features, processes them using deep learning models, and classifies emotions into categories such as happiness, sadness, anger, fear, and more.
Unlike conventional facial recognition systems that focus only on identity verification, SentifyIT goes beyond by analyzing subtle facial cues to understand how a person feels. This innovation has vast potential across multiple industries.
How SentifyIT Works
The core functionality of SentifyIT is powered by deep learning algorithms, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to process images and track facial movements. Here’s a brief look at the process:
- Facial Detection – The system captures real-time facial images using computer vision techniques.
- Feature Extraction – Key facial points are analyzed to identify microexpressions and movement patterns.
- Emotion Classification – Machine learning models classify the emotions based on trained datasets.
- Real-time Feedback – The system provides insights and visual feedback on detected emotions.
Applications of SentifyIT
The versatility of SentifyIT allows it to be applied in various domains:
1. Healthcare & Mental Well-being
SentifyIT can support mental health professionals by providing non-verbal emotional cues that might not be explicitly expressed by patients. It can help in monitoring stress levels and emotional well-being.
2. Customer Experience & Market Research
Businesses can use SentifyIT to analyze customer reactions to products, advertisements, or services in real-time. By understanding customer emotions, companies can tailor experiences to improve satisfaction and engagement.
3. Smart Security & Surveillance
By detecting suspicious or distress signals, SentifyIT can be integrated into security systems to enhance public safety and identify potential threats based on facial expressions.
4. AI-Powered Learning & Education
In e-learning environments, SentifyIT can assess students’ engagement levels, helping educators adapt teaching strategies based on student reactions.
With a detection success rate of 92-95%, an emotion detection accuracy of 98%, and response times under one second, SentifyIT is built for both performance and scalability.
Tackling the Privacy Challenge
Privacy is one of the most critical concerns in face recognition systems—and SentifyIT treats it as a top priority. The system is designed to avoid storing raw face images and instead uses secure, anonymized embeddings that cannot be traced back to the original image. Additional layers of encryption and immediate deletion protocols reinforce this privacy commitment, making the system not just effective but also ethically sound.
Why SentifyIT Matters
The global face recognition market is booming—and solutions like SentifyIT show that we can innovate responsibly. Whether it’s making classrooms smarter, improving security, or understanding emotions in telemedicine, this project reflects the future of AI-powered human interaction.
SentifyIT isn’t just about who we are. It’s about how we feel—securely and ethically.