Overview

A WeChat mini program designed to help users decide what to eat through random meal selection, recipe recommendation, and food recognition features. The product combines a “pick box” style decision tool with dietary recommendation functions, aiming to reduce decision fatigue while providing more health-aware suggestions.

Project Period

2022.02 – 2022.07

Development Tools

WeChat Mini Program · JavaScript · Trello · GitHub · Airtest

Role

System Analyst · Demand Analyst · Project Coordination Support

My Contributions

• Conducted requirement analysis and helped define both functional and non-functional requirements for the mini program, including response time, usability, and maintainability targets.
• Participated in system modeling and architecture planning, translating user needs into structured product requirements and implementation plans.
• Supported project planning through WBS, sprint breakdowns, and schedule coordination, helping the team structure delivery across multiple development phases.
• Contributed to risk management and formal technical review processes, including issue tracking, mitigation planning, and improvement recommendations.
• Coordinated review and testing activities, including static review support and documentation during white-box testing.

Core Features

• Random Meal Selection
  Users can spin a turntable to receive a random dish recommendation.
• Recipe Recommendation
  Users can browse dishes and view ingredients and cooking steps.
• Photo Recognition
  Users can upload or take photos of food to identify dish type and calorie information.
• Health-related Personal Data
  The mini program includes profile data and health index related features to support more personalized suggestions.

project preview