SmartClick
Hayk Grigoryan is a proficient UX designer and educator with extensive experience in the field. Currently, Hayk serves as the Founder of UX Academy and a Senior UX Designer at both Viralmango and SmartClick. Beginning in September 2024, Hayk will also leverage expertise as a University Lecturer in the IT department at the National University of Architecture and Construction of Armenia, focusing on UX and UI Design for master’s students. Hayk's background includes roles as a UX/UI Design Tutor at Business Development Group and GITC, and a Senior Product Designer at Digitain. Academic credentials include a Master's degree in Aviation/Airline Management and Aircraft Operations from the National Polytechnic University of Armenia.
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SmartClick
SmartClick creates innovative solutions to real-world problems using state of the art AI techniques.We bring the power of Artificial Intelligence to develop advanced technologies using Computer Vision, Data Analysis, and Automation that help businesses drive efficiency, growth and profitability.Our proprietary technologies range from FaceRecognition, Automated Machine Learning to Food detection, and much more.Visual Recognition1. Image ClassificationWe build models that can automatically detect and classify objects in an image according to its visual content using as few as five reference images.2. Object Detection & SegmentationTqd allows for identifying any given object within an image or a video in real-time. Object detection can be used to locate the exact positions of objects and label them accurately.3. Emotion DetectionSmartClick is capable of detecting more complicated patterns that take place through time, such as analyzing emotion through facial expressions, estimating human pose, and a sequence of actions.4. Food DetectionThe food detection system immediately detects the type and amount of food items with the capability to estimate the cost.5. Face recognitionOur cutting-edge face recognition technology detects faces within a video or an image in real-time. The system locates the features of the face comparing with the images available in the database and identifies if the person exists in the database, or detects them as an unknown person.Data Analysis1. Predictive AnalysisWe use machine learning algorithms and deep learning to predict the most likely future events from given historical data. For example, we can determine the possibility of churn, the probability of certain ads getting clicked, etc.2. SegmentationThis is the method of partitioning the data into multiple groups based on complex patterns within the data, such as grouping users by similarities of their activities, given the user data. We also apply this technology for detecting fraud and developing domain knowledge.3. Recommendation/Reinforcement SystemOur AI-based system makes use of data and algorithms to improve decision making process and provide relevant recommendations for various scenarios, such as ad revenue, customer satisfaction, time spent on application based on the history of the user and the behavior of similar users.