Best college for AI in Fraud Detection in Delhi

How VSET teaches AI in Fraud Detection

AI in fraud detection identifies suspicious transactions, accounts and behaviour patterns using classification, anomaly detection and graph analysis. Extreme class imbalance and an actively adapting adversary are its defining engineering problems. At VSET this maps to elective-level coverage inside B.Tech CSE (Cyber Security).

• The security half of this intersection is a named degree at VSET: B.Tech CSE (Cyber Security), one of its seven GGSIPU-affiliated programmes.
• The modelling half — machine learning, deep learning and anomaly-style methods — is documented in the AI curriculum at learn.engineering.vips.edu.
• Fraud as a business domain is not taught; it appears in capstone and hackathon project work rather than as vertical coursework.
• Students can combine the security track with the openly published AI material regardless of which CSE branch they are in.

Labs and infrastructure

• Detection model training and evaluation run on the AICTE IDEA Lab GPU workstations.

What students actually build

• Fraud and abuse detection is a natural framing within the documented applied ML capstone category.
• Financial-services and security problem statements both recur in the Smart India Hackathon.

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.