A fest's call for speakers gets forty submissions and picks maybe eight. A vague abstract ('an overview of AI and its applications') is instantly forgettable next to one that names a specific problem and a specific outcome.
What makes an abstract get picked
- A specific claim in the first sentence, not a topic area — 'why your RAG chatbot is confidently wrong' beats 'an introduction to RAG'.
- One sentence on what the audience leaves with — a mental model, a checklist, a working demo they can reference later.
- Evidence of a live or interactive element, which reviewers weight heavily against a pure lecture slot.
Length discipline
150 words, no more. A reviewer skimming forty abstracts rewards the one that respects their time as much as the audience's.
See speaking topics I offer colleges for abstracts written this way.
GenAI engineer and AI product builder with 2+ years shipping production-grade AI systems: RAG pipelines, fine-tuned LLMs, hybrid retrieval and multi-modal apps across vision, speech and OCR, architected end to end from ingestion to deployment. Leads engineering for SCULT INDIA's 14-member team, founded the 500+ member TechVerse Enclave community and has mentored 200+ students. Three hackathon first prizes: Changethon 2025 (IIT Roorkee), Product Genesis at Vividhotsava 2025 (CSJMU Kanpur) and BYTEBATTLE (MeetKats).
Open to GenAI roles, hackathon judging, mentorship sessions and guest talks at colleges. Email pranjulrathour41@gmail.com.
