Rigorous publishing for applied research in computing and engineering.
Pravidhi Journals supports peer-reviewed work across machine learning, engineering technology, and applied computing — built by researchers, for researchers, with double-blind review and clear editorial timelines.
One journal today, built to grow into a family of titles.
Each title under Pravidhi Journals covers a distinct research scope. EPOCHS is the first.
EPOCHS
Journal of Applied Machine Learning and Deep Learning
ISSN registration in progress with the National Science Library, India.
Publishing built around the researcher’s timeline, not a platform’s defaults.
Pravidhi Journals is an independent, self-hosted publishing initiative based in Hyderabad, India, set up to give applied computing and engineering research a clear, well-run home — from first submission to final indexing.
Every title follows the same standards: blind peer review, plagiarism screening ahead of review, and fixed decision windows so authors are never left waiting without an update.
Questions about submissions or the editorial process
Reach the editorial desk directly, or use the form for anything specific to your manuscript.