AI/ML / 2026
Agri-Sage
Agri-Sage is a two-person Kaggle Agents Intensive Capstone prototype concept for smallholder farmers. The repository currently contains documentation and a small demo script, so this portfolio presents the agent design and intended workflows without claiming a complete deployed system.
MediaProject media coming soon.
I am currently preparing a short product walkthrough.
Overview
Smallholder farmers can face delayed access to agricultural guidance, technical information, and decision support. The project explores a multi-agent advisory workflow that would structure farmer context and synthesize possible recommendations.
My role
- Co-developed the capstone concept in a two-person team.
- Led system design for farmer interaction, diagnosis workflows, market-intelligence concepts, and synthesis of recommendations.
- Corrected public presentation to use the correct name Darshil Modi.
What I built
- Gateway agent design
- Diagnosis workflow concept
- Market intelligence concept
- Recommendation synthesis concept
- Quick demo script
Project status
Capstone Project. No public demo is available right now.
What I learned
- AI-for-good products require domain validation and responsible limitations.
- Multi-agent systems need orchestration more than just multiple prompts.
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