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CultiKure AI – The Mobile Agronomist in Your Pocket 🌱📱
Crop diseases move fast, and farmers or agronomists don't always have the time to wait for lab results. For my second #FlowstepChallenge entry, I decided to tackle a critical AgriTech problem by designing a product I am deeply passionate about: CultiKure AI.
While my first entry focused on desktop logistics, I designed CultiKure purely as a mobile-first experience. It’s an AI-powered diagnostic app that allows users to instantly scan crops in the field, detect anomalies like Early Blight, and receive immediate treatment recommendations.
Here’s the 8-screen flow I built using @flowstep.ai:
📸 The AI Scanner: A real-time camera interface with bounding box alignment to instantly diagnose leaf, stem, or fruit health.
📊 The Agronomy Dashboard: A comprehensive view tracking overall plant health scores, hydration levels, and recent alerts.
📂 Scan History & Pro Features: A detailed log of past scans and a seamless upgrade path to consult directly with a Premium AI Agronomist.
Iterating this on the Flowstep canvas was a breeze. I started with my core prompt and used the chat to refine the entire aesthetic-locking in a fresh, organic green color palette and optimizing the bottom navigation for an iOS feel.
Check Out The Public Link:https://app.flowstep.ai/file?activeFileId=77538b6d-8610-4851-9341-999b6a402935
LinkedIn Post:https://www.linkedin.com/posts/muhammad-ismail-99b5b737b_flowstepchallenge-uiux-productdesign-activity-7489175716870242304-SpTY?utm_source=share&utm_medium=member_android&rcm=ACoAAF3iG8cB_kfo9XmDrEikK92utHgSA_yj2Uo
#UIUX #ProductDesign #AgriTech #DesignEngineer #Flowstep #BuildInPublic
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Introducing KEEPS: A Digital Home for Physical Memories
KEEPS is a mobile app designed to preserve the physical objects that carry our memories.
While most memory apps are built around photos, KEEPS is built around everything else.
Concert tickets, boarding passes, receipts, handwritten notes, invitations, conference badges, and other small objects that people often keep long after their practical purpose has ended.
The idea came from a simple observation: many of us keep these items because they represent experiences, relationships, milestones, and moments we don’t want to forget. Over time, they become scattered across drawers, wallets, books, and boxes, making them difficult to revisit and easy to lose.
KEEPS transforms these physical keepsakes into digital artifacts.
Users can scan real objects, remove backgrounds, add contextual information such as location, date, people, and personal notes, and organize them into custom collections. Artifacts can also be created from templates, allowing users to recreate memories that no longer exist physically.
The prototype includes onboarding, collections, artifact detail pages, discovery flows, creation flows, profile experiences, and a connected navigation system that allows users to move through their archive naturally.
Rather than generating the entire product in a single prompt, I used Flowstep as a design engineering tool.
I started with a visual direction created in Figma, including custom illustrations, typography, layout systems, and the overall structure.
From there, I rebuilt the product inside Flowstep screen by screen, using detailed prompts to define hierarchy, spacing, interactions, navigation patterns, and user flows.
Each screen became the foundation for the next. Existing components were reused, refined, and expanded to create a cohesive design system across the entire application. The process was highly iterative: generating, reviewing, refining, and rebuilding until the product felt consistent both visually and functionally.
The result is not simply a collection of screens, but a connected prototype with clear user journeys, interaction logic, and product intent.
KEEPS is built around a simple belief:
The smallest objects often carry the biggest memories.
Flowstep file link: https://app.flowstep.ai/file?activeFileId=cb23715a-64af-4fb6-822a-c789fb99b461
The walkthrough, screen recording of the prototype working in Flowstep, my custom illustrations, and the screens designed in Flowstep are included below.
Love this!
One of my biggest daily struggles is figuring out what to cook with the ingredients I already have.
I also tend to lose track of what's in my kitchen until it's too late.
So I used Flowstep to bring my idea to life and created Recipe Picks.
It's a prototype for a recipe recommendation app that suggests recipes based on the ingredients you have and your dietary preferences.
It helps you discover new meal ideas while reducing food waste.
Sharing my process in the comments.
Project link here
I'm indecisive. Painfully so.
I'll make a hundred small calls a day without blinking, then completely freeze on the ones that matter: the job, the move, the "should I actually buy this." My old method was opening fifteen tabs and texting five friends, then feeling more lost than when I started.
So for the @Contra HQ x @Flowstep challenge,
I built the thing I kept wishing existed.
Decido takes a decision you're stuck on and hands it to a council of six little characters, each with their own personality.
There's an optimist, a realist, one who guards your wallet, a history buff, a friend who just tells it straight, and a minimalist who asks if you even need it.
They think it over, then you get a real verdict: a confidence score, the honest trade-offs, and a look at how it plays out over time. It's basically your group chat, except it actually reaches a conclusion.
I built all of it in Flowstep.
I described what I wanted screen by screen and watched it come to life, then shaped it by just asking. Wanted a shortcut into the debate? One prompt. A new loading sequence? Done. Changing my mind mid-build turned out to be the easy part for once. Using MCP made working a breeze!
It's the app I made so I'd finally stop second-guessing. Fittingly, I didn't have to second-guess building it either.
Flowstep Project Link:
https://app.flowstep.ai/file?activeFileId=97bed321-da32-4c8f-a8b0-8cfa817ae1ef
Demo and Process explained in the video!👇
@Kieran Goodacre @Svyat Polishchuk
