Mobile App and Image Recognition for Fridge Monitoring (IoT) Startup
Services Covered:

Information Technology
6 months
10K - 49K
1 August 2018
11-15 Employees
Nearshore
Project Capability Score (PCS)
Project Capability Score (PCS) estimates how capable Ardas 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
Key Challenges
- Need to develop a mobile application for a refrigerator camera product.
- Target to launch the app in about three months.
Project Deliverables
- Hybrid mobile app for iOS and Android (React Native prototype)
- AI image recognition proof-of-concept
- Firebase backend and scalable backend architecture
- Camera API integrations and device engineering coordination
- App Store release and launch support
Project Solution
Project Outcome
- Around 650 current users and pre-orders for 21,000 in Ukraine and 11,000 in Malaysia.
- Achieved 92% check-in geolocation accuracy even when users lacked Wi‑Fi or other internet connectivity.
- High client satisfaction with product quality and project management.
Platforms
Mobile
Web
Cloud
Tech Stack
React Native
Android
iOS
Client Endorsement
Overall Review Rating
Timeliness
Cost Rating
Willing to Refer
Quality of Deliverables
“The app provided by Ardas is well-positioned to support the product in its eventual launch and planned feature expansions. Their team was communicative and worked well with others on the project, including product developers and UI/UX designers to create a seamlessly integrated solution.”
Note: This endorsement is based on publicly available client feedback from external review sources.
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