Cattle Scoring & Breed Selection
Animal Type Classification System
AI classification & scoring system built for the Rashtriya Gokul Mission (SIH 2025). Eliminates human bias and observer fatigue in identifying elite indigenous bovine breeding stock.
Identifying elite indigenous bovine breeding stock relies on manual scoring — slow, inconsistent, and distorted by observer fatigue and human bias.
An AI classification and scoring pipeline that evaluates animal type traits from images, producing standardised, repeatable scores for field workers.
- AI-based animal type classification & scoring
- Eliminates human bias and observer fatigue
- Standardised scoring of indigenous bovine breeds
- Built for Rashtriya Gokul Mission field workers
Purpose-built for the Rashtriya Gokul Mission — official scoring criteria are encoded directly into the model, removing subjectivity from selection entirely.
Team project for Smart India Hackathon 2025 — model training and scoring API.
Built an AI classification and scoring pipeline for Smart India Hackathon 2025 under the Rashtriya Gokul Mission. Computer vision models score indigenous bovine breeding stock consistently, removing observer fatigue from the selection process. Secured 34th place at Galgotias University.
Built for Smart India Hackathon 2025 — secured 34th place at Galgotias University.