Esbaar Launchpad · Cohort 01

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Participants no longer need codes. Pick the workshop problem that belongs to your group and enter the solution-design workspace immediately.

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PARTICIPANT ENTRY

Select your problem

The selected problem opens a shared workspace for that idea.

PROBLEM 01 · Anupam Abbanaveni

Internal Workload Sharing System

Individuals or teams sometimes experience sudden surges in workload over short periods, with no structured way to signal they are overloaded or to find colleagues with capacity. Current workaround is to push through or extend timelines.

PROBLEM 02 · Shihab Mohammed Al Nassri

AI Safety Chatbot for O&G Field Workers

HSE standards and emergency protocols exist in written English documents, but most site workers in Oman's oil and gas sector speak Arabic, Urdu, or Hindi and cannot access or understand these documents in real time when needed. This gap contributes to incidents and non-compliance.

PROBLEM 03 · Muhammad Shalahuddin Yahya

Geospatial AI as a Service Platform (GAIAAS)

Twofold — internally, Esbaar's geomatics team faces bottlenecks from slow manual digitization; externally, MENA enterprises need geospatial AI but cannot use global platforms due to data sovereignty laws. Esbaar holds a large proprietary regional dataset largely unused.

PROBLEM 04 · Mustafa Mohammedain

Omani Heritage Digital Documentation Platform

Absence of a unified, interactive platform for documenting and presenting Omani heritage sites — both as archival reference and as engaging experience for tourists. Current efforts are fragmented and traditional. A prototype already exists.

PROBLEM 05 · Ilyas Said Al Mubsali

AI-Powered Tender Scanning & Proposal Evaluation

Lack of reliable sources for identifying relevant tenders, plus lengthy manual proposal evaluation on both provider and client sides — resulting in missed opportunities and delays.

PROBLEM 06 · Mohamed Al Hinai & Enas Haddad

Drone Docking for Flood Prediction & Search/Rescue

Flood prediction in Oman relies on historical terrain data that becomes inaccurate after each weather event, leading to delayed warnings and risk to communities. Search and rescue is hampered by slow deployment and limited remote-area access.