Plants care and identification app
Mobile app for personalized plant care, offering tips, reminders, and guides to keep your plants thriving!
Challenge
Plant enthusiasts faced significant challenges in accurately identifying various plants and managing their care routines. Many users struggled with finding reliable, personalized guidance tailored to each plant’s specific needs, leading to confusion and inadequate plant care.
Solution
We addressed these issues by developing Lill, an advanced AI-based mobile application designed specifically for plant lovers. Lill not only helps users accurately identify plants but also provides personalized care plans with smart reminders to ensure optimal plant health and maintenance.
UI/UX Design
Our UI/UX design for Lill was crafted to offer a highly intuitive and visually engaging experience. We focused on creating a user-friendly interface that simplifies plant identification and care management, with easy navigation and interactive features that make plant care both enjoyable and efficient.
Mobile Apps Development
LAB325 developed Lill for both iOS and Android platforms, incorporating a sophisticated backend infrastructure to support AI-driven plant identification and personalized care features. We ensured smooth functionality, high performance, and seamless integration of all features, delivering an exceptional app that enhances the plant care experience for users.
The result
Lill quickly became a favorite among plant enthusiasts, earning widespread acclaim for its accurate AI-driven plant identification. Users praised the app for its precise recommendations and tailored care plans, leading to a surge in downloads and high engagement levels. The app’s success in providing reliable plant care solutions solidified its reputation as an indispensable tool for plant lovers, reflecting its exceptional performance and popularity in the gardening community.
Technologies
Frontend
Swift, Kotlin
Back-end
node.js, PgBoss, REST,
CNNm Tensorflow
Database
Postgres, ClickHouse
Project team:
ML-engineer
Project Duration:
Completed in 12 weeks
CONTACT US
Our works
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valuable products. We create custom web and mobile software to help you drive
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