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

Industry
Education
Duration
72 months
Budget
50K - 199K
Start Date
1 August 2020
Team Size
1-5 Employees
Engagement Model
Offshore
Project Capability Score (PCS)
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
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
Mobile
Tech Stack
C++
Python
Client Endorsement
Overall Review Rating
5
5 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.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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