🚀 Showcase your Open Source AI work!

Selection Process

🔹 Review of submissions for feedback – All submitted talks will be reviewed by the organizing team. Constructive feedback may be provided to help refine proposals.

🔹 Pipeline for OSAI selection – Reviewed submissions will be considered as part of the selection funnel for OSAI Blr meet-up.

🔹 Curated selection – The final selection will be made by the curator, Ramkrishna Reddy, who will evaluate reviewed talks and choose the most relevant and impactful ones for OSAI.

🔍 How the review process works

✅ Your submission will be reviewed by two reviewers via online sessions.
✅ They will evaluate:

• Real-world effectiveness – Did the AI solution actually solve the problem? Share demonstrable success metrics.
• Technical depth – Novelty, feasibility, and implementation details.
• Lessons learned – What worked, what didn’t, and what could be improved.
  ✅ A written summary of the feedback will be published after every review.

The review sessions are held online; past speakers (such as AI practitioners, researchers, and engineers) give valuable, expert feedback before the presenter showcases their work at major conferences and meet-ups, or publishes he work as a paper or a blog.

☑️ How to prepare for a review

✅ Define the problem clearly – what issue are you solving?
✅ Share key insights & lessons – Help others learn from your work!
✅ Provide evidence – Show real-world results, case studies, or demos.

💡 Before the review

• Create a mind map/flow diagram – explain your approach visually.
• Prepare a 10-15 min interactive presentation – keep it crisp, like an extended flash talk.
• Slides are not necessarily required – just clarity and engagement.
• Be ready to dive into code/architecture details if needed.

🔍 Reviews are collaborative, educational, and designed to make your work even better!