Automate · Research · Accelerate
A full-stack AI research platform built in Java — unifying dataset management, model training, experiment tracking, and collaborative research inside one intelligent workspace.
Ragelite brings the full AI research lifecycle — from raw data to deployed experiments — into a single, role-based Java application.
Full platform governance — manage users, allocate compute resources, oversee research projects, and monitor usage across the organization.
A focused lab — upload datasets, configure training runs, track experiments, and collaborate with team members seamlessly.
Every record — users, datasets, training logs, experiment results — stored reliably in MySQL through clean JDBC database classes.
Training jobs run on background threads via Java concurrency — the UI stays responsive while heavy computation happens in parallel.
Switch between the two dashboards to explore the full functionality set.
A live look at the Researcher workspace — clean, data-dense, purpose-built.
| Model | Dataset | Accuracy | Status |
|---|---|---|---|
| ResNet-50 | ImageNet-1K | 92.4% | Running |
| BERT-base | NLP-Corpus | 88.1% | Done |
| GPT-mini | TextGen-v2 | — | Queued |
Engineered against the exact marking rubric — every criterion deliberately implemented.
Pure Java, no shortcuts — every concept implemented from scratch to demonstrate real mastery.
A structured execution plan — from database schema to a polished, submission-ready application.
A Galgotias University team — engineering, design, and research in sync.
Galgotias University · B.Tech Computer Science · Section 43