Covoid - is a watch app that helps you avoid catching or spreading infectious diseases with nearly zero efforts.Face touchingWe touch our own faces at least 23 times per hour. That is around 550 times a day. We often do that after touching various other objects and surfaces like – doorknobs, smartphones, keyboards, handshakes etc. This behavior makes us prone to infectious diseases caused by viruses and bacteria. This is why WHO (World Health Organisation) and other health authorities strongly advise us not to touch our faces in an effort to reduce the spread of Covid-19.Machine learningWe use machine learning technology to better understand individual behavior and make sure that Covoid application can identify hand movements and notify us to take or cease certain actions.Hand washingClean hands are essential to stop the spread of any infectious disease. Thus, having a well-organised hand washing routines and learning how to do them properly is critical.CoronavirusIt needs to be said that creators of Covoid application are in no way experts of viruses and other infectious diseases. This is only our personal initiative to help people around the world. You can get more expert information regarding viruses and infectious diseases like Covid-19 on the official website of WHO (World Health Organisation).More information:https://covoidapp.com/

Fashter: AI-Driven Fashion Visual SearchEmpowering shopping with Machine LearningTechnologies: Ruby on Rails, Machine Learning, Heroku Overview:Fashter, an innovative clothing search platform, integrates Machine Learning to revolutionize online shopping. It offers visually similar clothing suggestions, tailored to user preference, for a personalized shopping journey. Features:- User-Friendly Search: Users input desired items to initiate a targeted search.- Random Selection: For undecided users, a random selection of items inspires the shopping process.- Visual Similarity Search: Leveraging Machine Learning, the ‘Similar’ feature generates a collection of visually alike items.- Streamlined Shopping: Users can visit the retailer’s website directly for a seamless purchase. Building Journey:Fashter’s development aimed to enhance online shopping with visually-based searches. We used Ruby on Rails for efficient development, while Machine Learning handled visual recognition. Deployment was on Heroku for its reliable cloud services. Training a Machine Learning model with extensive clothing image datasets enabled the precise ‘Similar’ feature.

Vilantis developed a user-friendly mobile application for the Illuminati light and color meter, a crucial tool for photographers. The application syncs with the Illuminati meter via Bluetooth, simplifying complex color science calculations and handling multiple BLE connections.Key features include:- Seamless Meter Connectivity: The application provides a gateway to measure various light types, impacting the quality and mood of a photograph.- Comprehensive Strobe Measurements: The application combines and displays exposure and color temperature readings for strobe lights, enabling effective lighting control.- Intelligent Color Detection and Correction: It aids in detecting and correcting color differences when shooting under mixed lighting conditions.- Multi-Meter Management: Users can connect the application to multiple Illuminati meters simultaneously for a uniformly lit scene.- Advanced Illuminance and Chromaticity Measurement: The application facilitates the measurement of light intensity in Lux and color in Chromaticity, helping photographers fine-tune their settings for optimal results. Swift and Native iOS were chosen for their performance and efficiency. Unique challenges like managing multiple BLE connections and performing complex color science calculations were met with custom solutions like connection handling. The process was organized into sprints, each culminating in a stable, feature-complete app release.