CeresVera
AI-first agricultural support platform
An AI-first platform for smallholder farmers, designed to detect crop issues early and connect farmers with verified agricultural experts through secure consultation systems.
Project stack
Visual proof
CeresVera pitch moment during the Interswitch Pan-African Discovery Series at ABUAD.
Case study
problem
Smallholder farmers often lose crops because pests, diseases and crop stress are not identified early enough.
built
As Product/Business Lead, I helped shape CeresVera as an AI-first platform for crop issue detection, verified expert access and escrow-backed consultation.
challenge
The challenge was communicating the product value clearly across agriculture, AI, trust, expert verification and business sustainability.
learned
I learned how product direction, team collaboration and pitch structure can be as important as code in innovation settings.
impact
The team placed 3rd at the Interswitch Pan-African Discovery Series, giving the project strong public validation.
Overview
I served as Product/Business Lead for Team CeresVera at the Interswitch Pan-African Discovery Series held at ABUAD, where the team placed 3rd.
My contribution focused on product direction, value proposition, business positioning, pitch structure and communicating why the solution mattered.
Highlights
AI crop issue detection for early intervention.
Verified expert access and escrow-backed consultation concept.
Team included frontend, backend, product design, AI/ML and product/business roles.
Also pitched at Campus to Career 2.0 and received cash-prize recognition.