Tender Details

Country: Afghanistan
Summary: Droughtwise - Ai-Powered Language Model for Drought Forecasting and Decision Support
AFT Ref No: 122685211
Deadline: 30 Jul 2025
Financier: World Bank (WB)
Purchaser Ownership: Government
Tender Value: Refer Document
Notice Type: Tender
Document Ref. No.: 0002017343
Purchaser's Detail:
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Description:
BackgroundAfghanistanis highly vulnerable to intense and recurring natural hazards that further riskgrowth and stability. Since 2000, natural disasters (i.e., droughts, earthquakes,epidemics, extreme temperature, floods, landslides, storms) have affected closeto 19 million people, resulting in 10,656 deaths and US$173.11 million in totaldamages. Of these hazards, droughts have the most widespread impact and affecta larger population. The 5 significant drought events, occurring in 2000, 2006,2008, 2011/12, and 2017/18, have affected over 17 million people with estimateddamages totaling US$142.05 million. With its diverse topography, isolation ofmany vulnerable communities, and limited coping mechanisms, hazard events inAfghanistan, regardless of security factors, are ever more likely to turn intodisasters with significant humanitarian and economic consequences.TheWorld Bank, through the Improving Livelihood Resilience to Climate Changein Afghanistan PASA (P500817), aims to identifyinvestment opportunities for improving livelihoods through moreclimate-resilient agriculture and water sectors, including by enhancingproactive decision making to effectively mitigate the adverse impacts ofnatural hazards on life, livelihoods, and property.Withinthis PASA, the World Bank, with the technical support of a consulting firm, hasrecently developed the Afghanistan Drought Decision Support Platform(AF-DDSP). This first of its kind innovative tool brings drought monitoring& seasonal forecasting for Afghanistan, utilizing high resolution remotesensing data to enhance predictive capabilities. The AF-DDSP aims to enable theBank and other stakeholders to better monitor and forecast the droughtconditions in the country and inform the design and prioritization of futureoperations. The AF-DDSPsystem is built on a modular server-based architecture designed to supportefficient data processing, storage, and access. This includes a Data ProcessingServer (dedicated to processing Earth Observati...
Documents:

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Droughtwise - Ai-Powered Language Model for Drought Forecasting and Decision Support - Afghanistan Tender

The WORLD BANK(WB), a Government sector organization in Afghanistan, has announced a new tender for Droughtwise - Ai-Powered Language Model for Drought Forecasting and Decision Support. This tender is published on AfghanistanTenders under AFT Ref No: 122685211 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2025-07-30.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.