Update README.md

README.md

@@ -87,9 +87,17 @@ Examples include ArtiFact / Celeb-DF for Track A, Places365 / SUN RGB-D for Trac
   - Generalization (20%): Does the model work on different lighting, resolutions, and "unseen" AI generators (e.g., Midjourney v6 vs. Flux)?
   - Efficiency (10%): Speed of inference and model size.
 
-## Recommended submission method:
+## Recommended submission method
 Please publish your solution as a Hugging Face model repository containing predict.py, requirements.txt, and the technical report. 
 Model weights should either be included in the repo (if lightweight) or downloaded-able from a Hugging Face model repo. 
-Once your repo is ready, email the Hugging Face repo link (e.g., https://huggingface.co/username/repo-name) to "hhalharbi@elm.sa" with the subject: “Challenge Submission – Team Name”.
+Once your repo is ready, please submit your solution using the official online submission form:
+https://forms.office.com/r/864ac0pUAC
 
-**Please note that the final submission deadline will be on WEDNESDAY 28 JAN 2026 - 2PM Riyadh time, and the team members should be 2-3 participants enrolled in MenaML winter school Program**
+Please ensure all required fields for this challenge in the form are completed, and any links or uploaded materials included in the form must be accessible (e.g., public or view-enabled as required).
+
+## Team Requirements & Eligibility
+- Each team must consist of 2–3 participants.
+- All participants must be enrolled in MenaML Winter School 2026.
+
+## Submission Deadline
+Wednesday, 28/01/2026 at 2:00 PM Riyadh time.