SmartClick
Emma Bojukyan is an experienced marketing professional currently serving as an Influencer Marketing Specialist at Viralmango and as a Copywriter at SmartClick. Previously, Emma held multiple roles at Renderforest, including Content Manager and Content Writer and Editor, and worked as a Project Manager at Incredo. Emma's expertise encompasses planning, implementing, and optimizing marketing strategies, managing social media campaigns, and conducting data-driven digital initiatives. Emma holds a Master’s Degree in Tourism and Travel Services Management from The Yerevan State Linguistic University after V. Brusov.
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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.