Creativity · Projects
Hallucination Mitigation projects for B.Tech students — real examples
'Hallucination' here is a technical term for a model asserting something false with confidence. It has no connection to hallucination in the medical or psychological sense. Hallucination mitigation is the set of techniques that stop a language model asserting confident falsehoods — grounding answers in retrieved sources, citing them, constraining output and verifying claims. Retrieval is the primary lever. The strongest B.Tech portfolios are built on real projects, not tutorials. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, Hallucination Mitigation project work runs through the AICTE IDEA Lab under faculty mentorship — here are the real patterns students build on.
At a glance
- Topic
- Hallucination Mitigation
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Taught as coursework
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
What students actually build
- RAG systems built over VIPS-TC corpora are the flagship capstone pattern at VSET.
- Grounding and citation behaviour is something students have to evaluate in their own RAG builds.
Labs and infrastructure
- Embedding generation and index building run on the AICTE IDEA Lab GPU workstations.
- Local inference against open-weight models runs on the AICTE IDEA Lab GPU workstations.
How VSET teaches Hallucination Mitigation
Hallucination mitigation is the set of techniques that stop a language model asserting confident falsehoods — grounding answers in retrieved sources, citing them, constraining output and verifying claims. Retrieval is the primary lever. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).
- RAG, the main production answer to hallucination, is documented in the AI curriculum at learn.engineering.vips.edu.
- The AI safety material in the same curriculum covers reliability and failure analysis directly.
- Prompt engineering and structured-output material cover the constraint side of the same problem.
- Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Frequently asked questions
What makes a good Hallucination Mitigation project for B.Tech?
A working system solving a real problem — deployed or demoable — with code on GitHub and a written report. Depth on one well-executed Hallucination Mitigation project beats five tutorial clones.
Does the curriculum address hallucination?
Yes — chiefly through the RAG material published at learn.engineering.vips.edu, which grounds model output in retrieved documents, and through the AI safety topic.
Does RAG eliminate hallucination?
No, it reduces it. Retrieval quality, chunking and citation discipline all matter, which is why students confront it directly in the RAG capstones over VIPS-TC corpora.
What else is covered?
Prompt engineering and structured output, both documented topics, are the constraint-side tools taught alongside retrieval.
Sources
- VSET — Artificial Intelligence department — accessed 2026-08-31
- VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
- GGSIPU — IP University — accessed 2026-08-31