- Country: Uganda
- Summary: Enhancing of an Open Machine Learning-Based Site Identification System
- UGT Ref No: 97764597
- Deadline: 15 Mar 2024
- Financier: Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ) GmbH
- Purchaser Ownership: Government
- Tender Value: Refer Document
- Notice Type: Tender
- Document Ref. No.: 83460257
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- Description:
- Tenders are invited for Enhancing of an Open Machine Learning-Based Site Identification System for Green Mini-Grids in Uganda. Interested bidders should submit their bids/offers electronically by Friday, 15th March 2024 at 4.00pm (EAT)
- Documents:
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CLICK HERE TO LOGINEnhancing of an Open Machine Learning-Based Site Identification System - Uganda Tender
The DEUTSCHE GESELLSCHAFT FÜR INTERNATIONALE ZUSAMMENARBEIT, a Government sector organization in Uganda, has announced a new tender for Enhancing of an Open Machine Learning-Based Site Identification System. This tender is published on UgandaTenders under UGT Ref No: 97764597 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 2024-03-15.
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.
