Mobile Applications
DW 2020
Game Engine: Unity
Tools: PUN2, Web API, Postman, Live Streaming, Green Screen Background Subtraction, Web Admin and User Dashboard
Genre: Simulation, Events
Platform: Android, iOS, WebGL
Publisher: ICT Division, Bangladesh
IDE: JetBrains Rider
Programming Language: C#, PHP
The Biggest tech event in Bangladesh "Digital World 2020” was hosted on DW 2020, our own virtual platform with over 290+ exhibitors and nearly 2,000,000 website and app visitors. We have developed a virtual platform facilitating the greatest tech event of Bangladesh, Digital World 2020. Our platform is fully customizable to your specific needs for the best user experience and journey throughout your virtual event. Participants/visitors and Exhibitors can do all the interactions just like in real-world exhibitions or fairs. For example visiting stalls, taking a selfie, interacting with the exhibitor, product display, live product showcase, business card exchange, brochure download, live chat, private chat, voice chat and many more.
Ultimate Player
Game Engine: Unity
Tools: Mapbox, Web Integration
Genre: Location-based App
Platform: Android, iOS
Publisher: British American Tobacco
IDE: JetBrains Rider
Programming Language: C#, PHP
Ultimate Player is a private app specially developed for a campaign of British American Tobacco. The purpose of this app is to see the performance of their Territory Officers. Territory Officers need to visit the specific spots within a time interval (Two Weeks) to beat the competition. Less completion time gives more scores. After the campaign, British American Tobacco will give them special prizes according to their scores. For mapping, the app uses the Mapbox Unity SDK.
Bata Shoe Size Try-On
Game Engine: Unity + Python
Libraries: OpenCV, Scikit-learn, NumPy, Flask
Genre: Mobile App
Platform: Android
Publisher: The Bata Corporation
IDE: Rider, PyCharm
Programming Language: C#, Python
Bata Shoe Size Try-On is an innovative mobile application designed for Bata Shoes. Its primary function is to detect the user's foot size and display the corresponding Bata Shoe Size. To achieve this, we utilized image processing libraries such as OpenCV, Scikit-learn, and NumPy in Python.
To facilitate a seamless user experience, the mobile app was developed using Unity. The image processing component was hosted on the Google Cloud Server and communicated with the Unity app through the Flask API. The user's foot picture is sent to the Python Server for processing, and the app calculates their shoe size based on the result.
To ensure maximum accuracy, we incorporated pixel calculation with bounding area in the Unity component. This approach allowed us to compare the results obtained from the image processing component and determine the most accurate foot size for the user.