CODEEDOC

Online video streaming and sharing app, it is a similar concept as TikTok and has a variety of features for video creation and sharing.

Client Requirement

The client wanted a video Streaming app similar to Tiktok where users can create and share clips of 30, 45, or 60 seconds and long 10 mins videos. He wanted to have multiple features like hashtags, trends, and preference-based suggestions.

Challenges

During the project development, there were many problems which were encountered, as for implementing AR stickers and advanced video editing features, one of the major issues which we faced was making the stream as smooth as possible.

Solution

We used several external libraries to make the app experience as smooth as possible and also implemented mux for streaming videos, which made the streaming experience much smoother and also we implemented other AR sticker libraries.

An online food ordering system is a food ordering application that is designed to place an order without calling or visiting busy restaurants. Whether it’s the comfort of your home or an office, your cravings can be satisfied by just selecting the food and restaurant with this application. The application has an admin panel, delivery boy panel, restaurant panel, and customer panel. Thus, appealing UI/UX and easy to use components enable food lovers to order and receive food at their doorstep.

Client Requirement

After doing a lot of research and consulting with various companies, our client came to us and discussed their food ordering idea with us. There were various things that the client wanted in a food ordering application and for this, he needs the help of an expert technology partner. After hearing the client requirements, We started the study of project scope and project requirements to come up with the right way to turn their idea into reality.

Challenges

During the project development, project environment, technology curb and time constraint were the major challenges that we had worked on. The client wants that when the user browses the application, they will get preferred food items based on their recently searched or previously ordered items. The task was a little complex but was implemented by our team within the promised time frame.