National Conference on AI, Machine Learning and Modern Computing
learnix thrive
📌About the Event
The National Conference on AI, Machine Learning and Modern Computing (NCAMMC-2026) is a premier academic and industrial symposium dedicated to the dissemination of original research, systemic frameworks, and breakthrough applications across advanced computing domains.
The conference serves as a critical junction for faculty, corporate scientists, and student researchers to present peer-reviewed papers. Every accepted manuscript achieves international indexing and publication, pushing the boundaries of autonomous systems, data architectures, and infrastructure engineering.
📅 Critical Dates & System Timeline
Milestones are non-extendable due to immediate journal indexing constraints:
- 💡 Abstract Submission Deadline: June 17, 2026
- 📝 Full Paper Submission Deadline: June 18, 2026
- 🏁 Conference Execution Date: June 20, 2026.
📋 Submission Guidelines & Publication Protocol
- 👥 Authorship Limits: A maximum of 4 authors per paper is strictly enforced on the journal manuscript.
- 📖 Journal Indexing Node: All accepted and registered papers will be published in the International Journal of Computers Electrical and Advanced Communications Engineering (IJCEACE) under registered serial number ISSN: 2250-3129.
- ⚙️ Fee Collection Sequence: The registration fee is collected exclusively after the formal notification of paper acceptance by the editorial board.
💳 Registration Fee Matrix
Fees are assessed per paper or per individual track seat:
| Participant Profile Category | Fee Structure | Deliverables |
| Faculty Members / Academicians / Industrialists | ₹1,200 per paper | Presentation Slot + ISSN Journal Publication + Author Certificates |
| Students (UG/PG/Ph.D. Researchers) | ₹1,000 per paper | Presentation Slot + ISSN Journal Publication + Author Certificates |
| Listeners / General Attendees | ₹300 per person | Complete Session Access + Attendee Participation Certificate |
📥 Official Communications & Support Nodes
- 📞 Central Secretariat Helpdesk: +91 8428272208