AI-Powered Indigenous Plants Knowledge Platform

Location: Lagos, Nigeria
Submission Deadline: May 2026
Budget Envelope: Up to NGN 3,000,000
 

Background & Context

Goethe-Institut Nigeria is a cultural institution based in Lagos, working at the intersection of art, culture, and knowledge exchange. As part of our ongoing commitment to the preservation and celebration of local ecological heritage, we recently commissioned a comprehensive research project into indigenous plants of Lagos.

This research represents a significant body of knowledge documenting plant species, their traditional uses, cultural significance, and ecological roles within Lagos communities. The time has come to bring this knowledge to life in a format that is accessible, engaging, and future-facing.

Objectives

  • Make indigenous plant research data publicly accessible through a user-friendly digital interface
  • Leverage AI capabilities to create intelligent, conversational, or generative interactions with the research content
  • Serve diverse users: the general public, artists and creatives, as well as schools and educational institutions
  • Reflect Lagos's cultural and ecological identity in the design and experience of the platform
  • Build a scalable, maintainable product that Goethe-Institut Nigeria can manage post-launch

Scope of Work

Core Platform Features (Required)

  • AI-powered search and exploration of indigenous plant data (e.g. natural language queries, recommendations)
  • Plant profiles: name (English, Yoruba and/or other Nigerian languages, scientific), uses, cultural significance, ecological notes, imagery
  • Mobile-responsive web interface accessible without download or installation
  • Multilingual support: English, Yoruba, Igbo, Hausa, & German
  • Content management system (CMS) for Goethe-Institut Nigeria staff to update the database
  • User-friendly onboarding for non-technical audiences

Enhanced Features (Desirable)

  • AI image recognition: allow users to photograph a plant and identify it via the platform
  • Creative / generative tools: AI-assisted features for artists and educators to derive creative outputs from plant data
  • Downloadable educational materials auto-generated from plant profiles for classroom use
  • Community contribution module: allow researchers or community members to submit new information for review
  • Integration with mapping tools to show plant distribution across Lagos

Technical Requirements

  • Cloud-hosted infrastructure with clear documentation and handover
  • Data security and privacy compliance
  • Accessible design (WCAG 2.1 AA standards)
  • API documentation if applicable
  • Provision of source code and full IP transfer to Goethe-Institut Nigeria upon project completion

Deliverables (June – November 2026)

# Deliverable Milestone
D1    Technical architecture document and project plan Week 2
D2 UI/UX wireframes and design prototype (approved by Goethe-Institut Nigeria) Week 4
D3 Alpha build with core features for internal testing Week 8
D4 Beta build with AI features integrated, opened to test users Week 12
D5 Final platform — live deployment with documentation Week 16
D6 Staff training and CMS handover session Week 17
D7 Post-launch support (30 days) Week 17–21

Evaluation Criteria

Proposals will be assessed by a review panel at Goethe-Institut Nigeria. The following weighted criteria will be used:
 

Criterion  Weight    What We Are Looking For
Technical Capability & AI Expertise       
__
30%
__
Demonstrated experience building AI-integrated products; quality of proposed technical approach
__
Relevant Portfolio & Experience
__
20%
__
Prior work on public-facing platforms, cultural or educational digital products, or African-context tech projects
__
Understanding of Brief
__
15%
__
Evidence that the proposal responds specifically to this project's goals and audiences
__
UI/UX & Design Thinking
__
15%
__
Approach to accessibility, cultural responsiveness, and user experience for diverse audiences
__
Budget & Value for Money
__
10%
__
Clear, itemised budget; realistic allocation; transparent cost structure within the envelope
__
Team Composition
__
10%
__
Relevant roles covered; local expertise is an advantage
__

Submission Requirements

Applicants must submit the following in one pdf:

  • Cover letter (maximum 1 page) outlining your interest and suitability
  • Technical proposal describing your approach, methodology, and technology stack (maximum 3 pages)
  • Portfolio of 2–3 relevant prior projects, with links or screenshots
  • Team structure: names, roles, and brief CVs of key personnel
  • Detailed budget breakdown aligned to deliverables
  • Timeline: proposed project schedule from kick-off to handover
  • References: at least two client references from comparable projects
All submissions must be sent to chinyeresandra.obieze@goethe.de  with the subject line: AI-Powered Indigenous Plants Knowledge Platform – [Your Organisation Name].

Submissions must be received by 09.05.2026 at 23:59 WAT.

Late or incomplete submissions will not be considered.
 

Process & Timeline

Stage Date
Open Call Published 1st April 2026
Q&A / Clarification Deadline 10th April 2026
Submission Deadline 9th May 2026
Shortlisting & Panel Review 15th May 2026
Presentations by Shortlisted Organizations/ Studios 18th – 22nd May 2026
Award Notification 28th May 2026
Project Kick-Off June 8th 2026

Terms & Conditions

  • Goethe-Institut Nigeria reserves the right to accept or reject any or all submissions without obligation to provide reasons.
  • This tender does not constitute a contract or commitment to procure.
  • All submitted materials become confidential property of the process; they will not be returned.
  • The successful vendor will be required to sign a service agreement including intellectual property transfer clauses prior to commencement.
  • Vendors may direct written clarification questions to chinyeresandra.obieze@goethe.de before the Q&A deadline. Responses will be shared with all registered applicants at the Q&A Deadline.

Contact

Goethe-Institut Nigeria is committed to cultural equity, ecological knowledge, and the digital future of African heritage.

Follow us