Customer challenges
Manual food and expense tracking using traditional apps was time-consuming and error-prone. The absence of an automated system for extracting nutrition and receipt data from images made tracking inconsistent and inconvenient. Users needed a solution that could process image-based uploads securely, in real time, and across platforms.
Solutions
A web and mobile app was developed to automate food and spending analysis through image uploads. The system uses OCR to extract data from receipts and food labels, categorizes the information, and presents insights through real-time dashboards. The platform supports secure user access and CI/CD-based deployment.
AWS services used
Results
Achieved 85%+ OCR accuracy.
Real-time dashboard with filters for consumption tracking.
Reduced manual logging effort.
Seamless access across web and Android.
Scalable backend with future-ready architecture.
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