EcoROC
Fostering engagement and accurate representation of Rochester's biodiversity
(Client)
Fall Semester 2023
(Year)
2023
(Services)
UX/UI, Branding, Responsive Design
Immersive
Exploration
Integrating cutting-edge identification tools with a collaborative community platform, fostering engagement and accurate representation of Rochester's biodiversity.
EcoRoc is an innovative iPhone app and Apple Watch widget designed to deepen users' connection with the unique biodiversity of Rochester, NY. By integrating advanced image recognition and AI-powered identification tools, EcoRoc enables users to quickly and accurately identify local plant and animal species, making ecological exploration accessible to everyone. The app's collaborative community platform encourages users to share their findings, contribute to a growing database of local species, and engage in discussions with fellow nature enthusiasts.
EcoRoc also features real-time data and insights on Rochester’s ecology, allowing users to track seasonal patterns, discover lesser-known species, and even contribute to citizen science efforts. The Apple Watch widget offers seamless, on-the-go identification and updates, empowering users to interact with nature during hikes, walks, or daily outdoor activities. By blending technology, education, and community, EcoRoc not only facilitates accurate ecological identification but also fosters a deeper appreciation and responsibility for preserving the rich natural environment of Rochester.
Research
Competitive Analysis
Instagram UI Strengths & Adaptation
Visual Appeal → Prioritize biodiversity imagery for an immersive experience.
User-Friendly Navigation → Intuitive system for identification tools, community forums, and educational content.
Stories & Temporal Engagement → Introduce time-bound challenges to encourage participation.
Community Interaction → Enable likes, comments, and direct messages for discussion and feedback.
Personalized Content Discovery → Curate content based on user preferences and past interactions.
The app will blend Instagram’s visual appeal and engagement features to foster ecological exploration and community-driven learning.
Google Lens UI Strengths & Adaptation
Advanced Image Recognition → Implement precise identification of local flora and fauna.
Minimalistic Camera Interface → Ensure an unobstructed, user-friendly identification experience.
Integration with Educational Resources → Provide contextual facts, multimedia, and in-depth species information.
Real-Time Feedback → Deliver instant identification results for enhanced learning.
Text Recognition → Extract key details from ecological elements for quick access to relevant data.
Inspired by Google Lens, the app will use advanced recognition technology and a seamless UI to make ecology identification accessible, informative, and engaging.
Sketches
Wire Frames
EcoROC
Fostering engagement and accurate representation of Rochester's biodiversity
(Client)
Fall Semester 2023
(Year)
2023
(Services)
UX/UI, Branding, Responsive Design
Immersive
Exploration
Integrating cutting-edge identification tools with a collaborative community platform, fostering engagement and accurate representation of Rochester's biodiversity.
EcoRoc is an innovative iPhone app and Apple Watch widget designed to deepen users' connection with the unique biodiversity of Rochester, NY. By integrating advanced image recognition and AI-powered identification tools, EcoRoc enables users to quickly and accurately identify local plant and animal species, making ecological exploration accessible to everyone. The app's collaborative community platform encourages users to share their findings, contribute to a growing database of local species, and engage in discussions with fellow nature enthusiasts.
EcoRoc also features real-time data and insights on Rochester’s ecology, allowing users to track seasonal patterns, discover lesser-known species, and even contribute to citizen science efforts. The Apple Watch widget offers seamless, on-the-go identification and updates, empowering users to interact with nature during hikes, walks, or daily outdoor activities. By blending technology, education, and community, EcoRoc not only facilitates accurate ecological identification but also fosters a deeper appreciation and responsibility for preserving the rich natural environment of Rochester.
Research
Competitive Analysis
Instagram UI Strengths & Adaptation
Visual Appeal → Prioritize biodiversity imagery for an immersive experience.
User-Friendly Navigation → Intuitive system for identification tools, community forums, and educational content.
Stories & Temporal Engagement → Introduce time-bound challenges to encourage participation.
Community Interaction → Enable likes, comments, and direct messages for discussion and feedback.
Personalized Content Discovery → Curate content based on user preferences and past interactions.
The app will blend Instagram’s visual appeal and engagement features to foster ecological exploration and community-driven learning.
Google Lens UI Strengths & Adaptation
Advanced Image Recognition → Implement precise identification of local flora and fauna.
Minimalistic Camera Interface → Ensure an unobstructed, user-friendly identification experience.
Integration with Educational Resources → Provide contextual facts, multimedia, and in-depth species information.
Real-Time Feedback → Deliver instant identification results for enhanced learning.
Text Recognition → Extract key details from ecological elements for quick access to relevant data.
Inspired by Google Lens, the app will use advanced recognition technology and a seamless UI to make ecology identification accessible, informative, and engaging.
Sketches
Wire Frames
EcoROC
Fostering engagement and accurate representation of Rochester's biodiversity
(Client)
Fall Semester 2023
(Year)
2023
(Services)
UX/UI, Branding, Responsive Design
Immersive
Exploration
Integrating cutting-edge identification tools with a collaborative community platform, fostering engagement and accurate representation of Rochester's biodiversity.
EcoRoc is an innovative iPhone app and Apple Watch widget designed to deepen users' connection with the unique biodiversity of Rochester, NY. By integrating advanced image recognition and AI-powered identification tools, EcoRoc enables users to quickly and accurately identify local plant and animal species, making ecological exploration accessible to everyone. The app's collaborative community platform encourages users to share their findings, contribute to a growing database of local species, and engage in discussions with fellow nature enthusiasts.
EcoRoc also features real-time data and insights on Rochester’s ecology, allowing users to track seasonal patterns, discover lesser-known species, and even contribute to citizen science efforts. The Apple Watch widget offers seamless, on-the-go identification and updates, empowering users to interact with nature during hikes, walks, or daily outdoor activities. By blending technology, education, and community, EcoRoc not only facilitates accurate ecological identification but also fosters a deeper appreciation and responsibility for preserving the rich natural environment of Rochester.
Research
Competitive Analysis
Instagram UI Strengths & Adaptation
Visual Appeal → Prioritize biodiversity imagery for an immersive experience.
User-Friendly Navigation → Intuitive system for identification tools, community forums, and educational content.
Stories & Temporal Engagement → Introduce time-bound challenges to encourage participation.
Community Interaction → Enable likes, comments, and direct messages for discussion and feedback.
Personalized Content Discovery → Curate content based on user preferences and past interactions.
The app will blend Instagram’s visual appeal and engagement features to foster ecological exploration and community-driven learning.
Google Lens UI Strengths & Adaptation
Advanced Image Recognition → Implement precise identification of local flora and fauna.
Minimalistic Camera Interface → Ensure an unobstructed, user-friendly identification experience.
Integration with Educational Resources → Provide contextual facts, multimedia, and in-depth species information.
Real-Time Feedback → Deliver instant identification results for enhanced learning.
Text Recognition → Extract key details from ecological elements for quick access to relevant data.
Inspired by Google Lens, the app will use advanced recognition technology and a seamless UI to make ecology identification accessible, informative, and engaging.
Sketches
Wire Frames