TanimPro
Farmers need practical and understandable support tools, but many digital products are too technical, fragmented, or disconnected from real farm workflows.
Role
Developer, Designer, and Concept Lead
Team
Portfolio project
Timeline
Concept and prototype phase
Problem
What this project needed to solve
- Agriculture support tools can be difficult to use for non-technical users.
- Farm decisions often require combining observations, guidance, and records.
- AI features need to be framed carefully so they help rather than confuse users.
- The interface has to respect field conditions, time pressure, and accessibility.
Solution
Robert's product and technical direction
TanimPro frames AI and IoT ideas as approachable farm workflows: ask for guidance, review crop context, track relevant observations, and surface recommended next steps in plain language.
Architecture
How the idea is structured
Concept architecture connecting farmer questions, crop context, AI guidance, and optional sensor or observation inputs.
Proof Points
What this project shows
AI + Farm UX
Portfolio Proof
Shows Robert's ability to translate an agriculture problem into a product experience.
Accessible
Design Direction
Prioritizes clarity, farmer usability, and practical decision support.
Expandable
Technical Direction
Prepared for future AI, RAG, IoT, and data-driven feature integration.
Process
How Robert approached it
Problem Framing
Defined the farming decisions and support moments the platform should help with.
Workflow Design
Mapped AI guidance into user-friendly actions instead of a generic chatbot.
Interface Planning
Planned a clean farmer-facing interface with concise explanations and visible proof.
Future Integration
Kept room for AI/RAG, IoT inputs, and case-study expansion.
Next Step
Discuss this project with Robert
Use this case study as proof for Robert's portfolio direction, then return to the assistant or contact page for a role-fit conversation.