TBR Group

The application is a social network platform that connects parents based on their interests via various mеans of communication such as content feed, chat, groups and events based on interests. The application algorithms are engineered the way they can select content and recommendations from parents with similar interests, locations and the age of children. The challenge & solution The main goal of the project was to build a social network platform that connects parents and provides excellent user experience via handy features (user invites, tagging, hashtagging content sharing and deep links). We have developed a mobile application that suits all requirements of social networks for parents. One of the challenges we faced was to make Twitter-like user tagging and hashtagging. To overcome this challenge, we have developed our own text analyzer that helps work with user tags and hashtags in the text. The collaboration between the client and TBR Group is ongoing.The outcomeDuring development TBR Group have been closely collaborating with the client’s in-house dev team. The responsive and diligent approach shown by TBR Group helped Babymates get the app into the hands of users.

Mind Switch divides stressful topics into aspects. For each aspect, users watch a special video that affects their brain neural network. Users can select specific bothersome topics from the Mind Switch library. The challenge and solutionWhen developing Mind Switch, we’ve faced several challenges. The main goal of the project was to create a system for flexible content management. So that app users can visualize all the entire content in the app, we’ve used a special element called “block” in the backend. On the backend side, the client can set up elements to be shown on the specific screen, along with the order they should follow to emerge. The main challenge of the project was to empower a user to customize the content of the application through the backend. We applied Firestore to implement such a possibility. Hence, the client is not only able to add, remove and change almost all the content on the backend but also to make these changes in real time. Practically, all the data received from the backend is stored offline. We opted for SQLite to develop embedded software. Therefore, any time a user logs in or registers in the application, we obtain all the necessary information from Firestore and load it into the local database. The mechanism applied in the app allows updating the data so that the user could operate with relevant data anytime. Besides, we have developed several versions of the app to run it from a single code base. We use flavors to control the versions. Each app version has a particular flavor. As an example, using these flavors, the TBR Group engineers can control which backend should be used.   OutcomeThe app is available from the Google Play and Apple stores for users seeking to reduce their stress levels and relax. Over 900+ installs have been currently recorded in the Google Play and Apple stores, with a 4.4-star rating out of 56 reviews in the Google Play platform.TBR Group is working on adding new functionality to the app.

Built by musicians for musicians, musikian exists to support musicians and give them what they truly deserve; a platform of their own. We don’t host pesky advertisements, add invasive snoopy tech and will never sell your data. We are inspired by our core mission of improving the life of musicians through the power of the internet and technology.

Neural Reader is a mobile application aimed at converting Text-To-Speech and Speech-To-Text. It can function both as an audio player, and as a dictation transcribe tool. The user can read books, documents, and news articles with the help of Neural Reader.The challenge and solutionThe major use case of this app is to help people unable to read (with impaired vision) listen to their text inputs by way of converting a text to an audio. The minor use case of this app is to help people who cannot hear (with impaired hearing) see audio transcripts by converting a real time audio speech to a text. To achieve the goals mentioned above, we had to implement a different set of functionalities. Our team added support for various file formats, enhanced web article text extraction, improved performance to make the application even more user-friendly.The outcomeThe number of installations in Google Play exceeds 10,000+, with the average rate of 4.6; the App Store shows 4.1 rating scale. According to the reviews and ratings received, though a bit overpriced, the application has gained considerable popularity among the customers.