Curiosity · After 12th
How to learn AI in Accessibility after 12th in Delhi
AI in accessibility builds assistive tools — scene description for blind users, real-time captioning, sign language recognition, text simplification and voice control. It is one of the highest-impact applications of ordinary CV and NLP technique. Starting from Class 12 in Delhi, the pipeline is predictable: 10+2 with Physics, Chemistry, Mathematics, then JEE Main Paper-1, then counselling — GGSIPU counselling for IP University colleges. The real decision is choosing a college whose AI in Accessibility coverage is genuine rather than a brochure keyword.
At a glance
- Topic
- AI in Accessibility
- VSET programme
- B.Tech CSE (AI & ML)
- Coverage at VSET
- Elective-level coverage
- Affiliation
- GGSIPU (IP University), Delhi
- Accreditation
- NAAC A++ (VIPS-TC institutional)
The degree route
The degree route is a B.Tech with genuine AI in Accessibility depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means elective-level coverage inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.
How VSET teaches AI in Accessibility
AI in accessibility builds assistive tools — scene description for blind users, real-time captioning, sign language recognition, text simplification and voice control. It is one of the highest-impact applications of ordinary CV and NLP technique. At VSET this maps to elective-level coverage inside B.Tech CSE (AI & ML).
- The techniques are taught in full: computer vision, NLP, deep learning and language models are documented at learn.engineering.vips.edu.
- Accessibility as a discipline — standards, user research with disabled people, assistive-device practice — is not taught; the application appears in project work.
- The IDEA Lab's embedded hardware and 3D printing make physical assistive prototypes feasible alongside software builds.
- The AI & ML track is one of VSET's seven GGSIPU-affiliated B.Tech programmes.
Where AI in Accessibility skills lead
Graduates applying AI in Accessibility skills typically target roles such as Computer Vision Engineer, NLP Engineer, Machine Learning Engineer, Assistive Technology Engineer, Applied AI Developer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.
How admission works
Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.
Frequently asked questions
Can I learn AI in Accessibility after 12th without coding background?
Yes — B.Tech programmes assume no prior coding; years one and two build programming and mathematics foundations before AI in Accessibility-specific work begins. What matters at entry is 10+2 PCM and a JEE Main score.
Is accessibility taught as a subject at VSET?
Not as a named subject. The computer vision, NLP and deep learning techniques assistive tools are built from are taught and published openly.
Can students build physical assistive devices?
Yes — the AICTE IDEA Lab pairs GPU workstations with embedded hardware and 3D printing, which supports wearable and handheld prototypes.
Where do accessibility project briefs come from?
Usually the student's own framing within an applied CV or NLP capstone, or a disability-support problem statement in the Smart India Hackathon.
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