WORK → SNACK FUND HK
Snack Fund HK: revolutionizing nutritional analytics with AI-powered scanning
We built a proof-of-concept platform for Snack Fund to automate nutritional data extraction for the snack industry. By leveraging computer vision and advanced AI, we enabled B2B clients to instantly digitize nutrition labels via camera and barcode scanning, creating a robust, searchable database of food analytics that turns manual data entry into actionable business intelligence.
ROLE
Product strategy, AI/ML engineering, computer vision, full-stack development
TIMELINE
1 month
STACK
React Native · Python (computer vision) · TensorFlow · PostgreSQL
MARKET
Food tech & B2B analytics
THE CHALLENGE
Manual bottlenecks in nutritional data management
For the snack industry, gathering granular nutritional data is a heavy manual process. Companies rely on slow, manual entry to populate their databases, leading to inaccuracies and lost time. Snack Fund needed a way to accelerate this — a B2B-ready proof of concept that could demonstrate how AI could automate data capture and provide high-value analytical insight for their clients.
THE SOLUTION
An AI-driven intelligent scanning engine
We developed a platform that serves as an intelligent intake system for nutritional data. We combined real-time computer vision and barcode scanning with a backend database engine, so users simply scan a snack package to extract complex label data — instantly digitizing the content and making it searchable for B2B analysis.
WHAT WE BUILT
Automated intelligence for snack data
AI nutrition scanner
A sophisticated computer vision pipeline that processes camera feeds and barcodes to accurately identify products and extract nutrition label data in real time.
Intelligent snack database
A centralized, structured repository of nutritional information designed for scalability and B2B data querying.
Automated data extraction
Machine learning models that minimize human intervention by automatically parsing text-heavy nutrition labels into structured data formats.
B2B analytics portal
An insights dashboard where corporate clients query, compare and analyze snack data to support product development and market research.
THE RESULT
From manual entry to automated insights
Instant
digitization
Manual label entry eliminated by AI-powered scanning
High
extraction precision
An automated ML pipeline ensuring reliable nutritional data capture
PoC
production-ready
Core B2B value proven through a functional, high-performance prototype
Searchable
snack database
Raw label data turned into usable insight for B2B decision-making
Snack Fund needed a way to prove that AI could solve the industry's data entry bottleneck. Neologism delivered a PoC that not only worked but showed exactly how we can scale insights for our B2B partners.
David Wong
FOUNDER, SNACK FUND HK
Have a food-tech or AI analytics platform idea?
We build custom AI scanning engines and high-volume data platforms from scratch.