B.Tech CSE (AI & DS) projects for B.Tech students — real examples

What students actually build

• Capstones lean towards ingestion pipelines, analytics and decision support, including retrieval systems built over VIPS-TC corpora.
• Smart India Hackathon problem statements built on public datasets suit this track directly.

Labs and infrastructure

• AICTE IDEA Lab GPU workstations carry the data-intensive training and analytics workloads.
• A Quantum Research Lab is available on campus.

How VSET teaches B.Tech CSE (AI & DS)

B.Tech CSE (AI & DS) is a four-year degree that pairs the computer science core with data pipelines, ETL and applied analytics, treating machine learning as a tool applied to real data rather than the object of study. It is one of the seven GGSIPU-affiliated B.Tech programmes VSET runs. At VSET this maps to a dedicated B.Tech track — B.Tech CSE (AI & DS).

• VSET offers B.Tech CSE (AI & DS) as a dedicated GGSIPU-affiliated specialisation, running alongside the separate AI & ML track.
• The specialisation weights data pipelines, ETL and applied analytics, where AI & ML weights model training, LLM engineering and agent systems.
• AI coursework shared across the VSET AI family includes deep learning, NLP, computer vision, vector databases and retrieval-augmented generation.
• Databases and data handling from the CSE core carry directly into the analytics subjects.
• Admission is through 10+2 with Physics, Chemistry and Mathematics at a minimum 50% aggregate, JEE Main Paper-1 and GGSIPU counselling.