EndorsedendorsedOngoing

Mobile ML Algorithms Development (C++ & Python) for Research Firm

Services Covered:

Custom Software DevelopmentMobile Application Development
Project hero — replace with case study imagery
Industry
Industry

Education

Duration
Duration

72 months

Budget
Budget

50K - 199K

Client Size
Start Date

1 August 2020

Team Size
Team Size

1-5 Employees

Engagement Model
Engagement Model

Offshore

Project Capability Score (PCS)

gauge meter
78/100
Good

Project Capability Score (PCS) estimates how capable Digica 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

Confidential

mapSingapore, Singapore

Project Summary

Digica developed a mobile app and the machine-learning algorithms required by a research firm to extract health metrics from video analytics. The work used Native C++ and Python and was delivered for internal use. The client reports positive results, strong technical know-how, and consistent project management with regular stand-ups and clear communication.

Key Challenges

  • Extract health metrics from video analytics
  • Required expertise beyond traditional computer vision techniques

Project Deliverables

  • Mobile app for internal use
  • Machine learning algorithms for extracting health metrics from video
  • Native C++ and Python codebase

Project Solution

Digica designed and implemented machine-learning algorithms for a mobile application that extracts health metrics from video analytics. The vendor developed the core algorithms and native components using C++ and Python and delivered a working internal mobile app. The engagement included a small dedicated team (CEO, lead data scientist, and a project manager) and ongoing collaboration since August 2020.

Project Outcome

  • Positive technical outcomes and strong client satisfaction
  • Idea progressed from concept to a functioning product within six months
  • Exceptional project management with no surprises and regular stand-ups

Platforms

  • MobileMobile

Tech Stack

  • C++C++
  • PythonPython

Client Endorsement

Overall Review Rating

5star5 out of 5 stars

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

The results met the needs and requirements of the internal team. Digica leverages their technical expertise and experience to craft high-quality products. The team lets the client know of any potential issues far in advance, setting themselves up for success.

Anonymous

Founder

Note: This endorsement is based on publicly available client feedback from external review sources.

More Projects by Digica

Completed
Information Technology

AWS Environment Restart for Medical Device Company

Preview of the AWS Environment Restart for Medical Device Company
Budget:
Confidential
Duration:
1 month
Team Size:
1-5

Services Covered:

+3 more