endorsedOngoing

Museum Mobile App with Image Recognition and Chat

Services Covered:

Mobile Application Development • AI and Machine Learning

Industry

Education

Duration

91 months

Budget

10K - 49K

Start Date

1 January 2019

Team Size

1-5 Employees

Engagement Model

Nearshore

Project Capability Score (PCS)

70/100

Good

Project Capability Score (PCS) estimates how capable LaSoft Software Development is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

gamelab.berlin

Berlin, Germany

Project Summary

LaSoft provides full-stack development for a multilingual, accessible museum mobile app for iOS and Android. The team built features including a swipe-based UI, chat around display objects, a points-of-interest tracking algorithm and TensorFlow-based image recognition; regular user testing has produced very positive feedback. The vendor is responsive, delivers frequent working results, and is flexible with scheduling.

Key Challenges

Provide front- and backend development and architecture for a gamified museum app
Deliver accessible, multilingual design and implementation
React quickly to evolving requirements and understand the constraints of the cultural sector

Project Deliverables

Multilingual React Native iOS and Android mobile application
Swipe-based user interface for preference input
Points-of-interest tracking algorithm
Chat function for display objects with preconfigured choices and images
TensorFlow-based image recognition integration
Indoor positioning/matching system

Project Solution

LaSoft developed an accessible, multilingual React Native application for iOS and Android, implementing a swipe mechanism for quick user preferences, a points-of-interest tracking algorithm, and a chat function tied to display objects. They integrated a TensorFlow-based image recognition feature for identifying objects via the device camera and built an indoor matching system to locate objects relative to the user's position. The vendor provided project management and a small team of developers who deliver frequent working results.

Project Outcome

Regular user testing in the museum with consistently very positive feedback.
Weekly working deliveries and rapid turnarounds with effective timeline management.
High-quality, tested deliverables and flexible collaboration that reduces miscommunication overhead.

Platforms

Mobile

Tech Stack

TensorFlow
iOS
Android

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Regular testing with museum visitors garnered consistent positive feedback. Flexible with schedules, LaSoft delivers fast turnarounds without sacrificing quality. Their depth of understanding and willingness to seek clarity where appropriate prevents any unnecessary overhead due to miscommunication.”
Christian Stein
Technical Project Manager
Date: 06/18/2019