Application has capture interesting discussions, share them with your peers & participate in different groups. Users can see the different emotions in each recording and even train app to detect different speakers.

The project has iOS and Android users facing native mobile apps and a website. A notable feature of the project is the discussion rooms, where users can create their own private rooms, join existing ones, and listen to recordings shared by others.

The most technically challenging parts are integrating AI and machine learning algorithms from TensorFlow to detect emotions through the recording and efficiently run it on your mobile device.

Throughout the development process, we conducted a thorough analysis of the most popular audio-based social networks to devise a unique approach, style, and set of functionalities. Extensive research was also conducted in the realm of audio recording processing, as modern audio-based social networks have a high expectations about playback and recording quality.

LifeCassette is an application that can be used by anyone who wants to record their moments, memories, thoughts, and important conversations. It can be helpful for people who do not want to waste time typing text - share your emotions through audio recording.

LifeCassette offers a range of features that are tailored to help users record and organize their memories, thoughts, and important conversations in a seamless and intuitive manner. AI detects speech and the sound of emotions like laughter, so you can easily find interesting moments in your conversations.