India has 22 constitutionally recognised languages with a collective speaker base of over 1 billion speakers. With increasing digital penetration and the preference for regional language content on the web, a good translation system for Indian languages is a necessity to provide equitable access to information and content. Despite this fundamental need, the accuracy of machine translation (MT) systems to and from Indic languages are poorer compared to those for several European languages. At AI4Bharat, our goal is to bridge this gap by (i) mining cheaper parallel data from the web (ii) manually collecting a small amount of seed data (iii) creating robust India-centric benchmarks and (iv) building efficient multilngual models which exploit the similarity between Indian languages.