Case Study - Finest Local Map & Lifestyle App

Overview

We proud to have one of its senior engineers, Nafisul Islam, contribute to the success of Dingi Technologies Ltd., a leading location intelligence company.

While details about Nafisul Islam's specific project at Dingi are confidential, his extensive experience as a senior iOS software engineer allows him to contribute to various aspects of mobile app development. His skills likely encompass:

• studied repositories under OpenStreetMap Project in GITHUB and made an enhanced and detailed map (Raster and Vector) of Bangladesh using various Open Source projects such as Mapbox SDk, Osm2pgsql, Osmosis, Mapbox Studio, Openmaptiles. Also, de- veloped Data acquisition tool for user contribution, design of the Map and made the whole Dingi Map Backend pipeline fully automated.

• Developed a Live Bus Tracking app for Bangladesh Road and Transport Corporation (BRTC) which tracks all the buses of BRTC and shows crowd estimation from live image and predicts estimated time for bus stops using live traffic data.

• Developed and implemented navigation algorithm, stay point and other meaningful event determination from a myriad of locations from users, online and offline map matching algorithm from Raw GPS data, noisy point removal, live traffic prediction from live vehicle data. Also, implemented search feature for Place of Interest (POI) and Address using ElasticSearch

• Developed Dingi Life app which includes features like enhanced map for Bangladesh, city bus service, nearby services and shops, intercity bus and train information, live traffic, enhanced address search, voice navigaiton. Also, developed DingiMap SDK by forking open source project Mapbox for IOS, Android and JavaScript platform. • Developed Android EPUB reader for Bangladesh Technical Education Board (BTEB) and Bangladesh Madrasah Education Board (BMEB)

• Developed Hajj Tracking Solution for Hajj Agency. Here Agency can register a Haji either by device or smartphone. This system will track Haji and provides necessary utilities like next prayer time, compass direction, weather condition etc.

• Implemented an algorithm which sends user analytics from the Dingi Life app when user activity is minimal or no networking call is active and then uses machine learning algorithm to classify a user based on activity and search

What Nafis did