Tanamind App

First-time urban growers can start with a balcony or rooftop, yet they still need crop-specific guidance through setup, care, and harvest. Tanamind focused that journey on mustard greens, a crop with a short and understandable growing cycle.

Problem

Beginners face limited space, uneven knowledge, and no clear way to judge plant condition. A generic article can explain planting once. It cannot maintain a weekly care sequence or connect a visible plant problem to the next action.

Role and scope

I led product and design work for the concept. I shaped the onboarding, growing guide, reminder, monitoring, and recommendation flows. The team built the web prototype with Next.js, Firebase, and Gemini.

The project aligned its problem with SDG 2. The submission did not measure household food output or food-security impact.

Process and decisions

The team narrowed the first version to one crop. That choice reduced variation in growth stages and gave the guidance a clear sequence. Users start with setup instructions, record progress, receive reminders, and request feedback on plant condition.

I treated Gemini as a guidance layer inside a structured crop journey. The product still needs horticultural review before it can present recommendations as trusted cultivation advice.

Prototype delivery

We submitted Tanamind to the APAC GDG Solution Challenge and deployed the prototype. The build covers onboarding, crop setup, weekly monitoring, reminders, and a Gemini feedback step.

The project stopped before a grower trial. I cannot report active growers, completed harvests, model accuracy, or selection results.

Limits

The prototype focuses on mustard greens and has no field trial. It lacks plant-condition labels, expert-reviewed responses, reminder adherence data, and harvest outcomes. Future work needs a small grower study and agronomist review before expanding to other crops.