Artificial Intelligence Needs Assessment Assistant (AINAA)
Project overview
AINAA is a secure, cloud-hosted AI platform that transforms raw needs-assessment data into rapid, context-aware insights, improving decision-making speed and quality for frontline responders during humanitarian crises.
Project solution
This project offers [specific solution or intervention] to tackle [challenge]. By implementing [strategies, tools, or innovations], the project aims to achieve [desired outcomes]. The approach is designed to [specific actions or methods] to bring about meaningful change in [community, region, or issue area].
Expected outcomes
This project aims to achieve [specific outcomes], such as [measurable results, improvements, or changes]. The expected impact includes [benefits to the target community, advancements in research or innovation, or long-term effects]. By the end of the project, we anticipate [specific changes or milestones] that will contribute to [broader goals or objectives].
What humanitarian need is being addressed?
In humanitarian crises, needs assessments are the primary way limited resources are allocated to nearly unlimited needs. Yet current assessments are slowed by scarce human resources, severe time pressure, and messy, inconsistent data. This often delays critical decisions about where to send food, water, shelter, and other lifesaving support. AINAA addresses this need by transforming raw assessment data into rapid, reliable, and context-aware insights, reducing the time from data collection to decision-making and improving the accuracy of resource allocation. This ensures crisis-affected, economically underserved populations receive assistance faster and in a more targeted way.
What is the innovative solution and how will it improve existing humanitarian practice?
AINAA is a secure, cloud-hosted platform that uses OpenAI GPT models with humanitarian-specific prompts to transform raw needs-assessment data into clear, actionable insights. It integrates directly with mobile survey data platforms, turning field data into immediate analysis. AINAA combines automation with a structured expert review process, allowing subject-matter experts to evaluate outputs against defined quality criteria and provide feedback that continuously improves performance. This human-in-the-loop design ensures that AI enhances, rather than replaces, expert judgment. By dramatically reducing the time from data collection to analysis, AINAA enables responders to make evidence-based decisions within hours, improving the timeliness, consistency, and quality of humanitarian planning and ensuring that scarce resources are directed where they are most needed.
Expected outcomes
- Functional Prototype: A fully working, cloud-hosted version of AINAA, integrated with mobile survey data platforms and capable of turning raw field data into rapid, actionable insights.
- Evaluation Framework: A structured methodology and interface to assess AINAA’s outputs against criteria such as timeliness, completeness, accuracy, and bias, enabling systematic feedback and model improvement.
- Schema for Assessment Inputs: A standardized schema for importing assessment data, ensuring consistency and interoperability across different humanitarian data collection tools.
- Knowledge Base: A user-friendly repository of guidance, documentation, and training materials to support adoption, build trust, and share learning across the humanitarian sector.
Project delivery & updates
Stay up to date with the latest developments from this project. Here, you will find details on what has been delivered, resources created, and regular updates as the project progresses. Access key documents, reports, and other materials to see how the project is making an impact.