Hello. I'm Dilip Lilaramani.

I'm product architect, full stack web/mobile developer and Machine Learning Engineer from Bangalore, India. Why not get in touch?

Latest Work

I have experience in a number of different areas. Have a look at what I'm working on right now.

Verify ID using AI

AI based digital verification is Identity validation by true user.

True user means that user who is showing identity card is the same person to which identity card belongs to.

Option 1: Inside browser, just select the picture with identity card in hand and you will get json response.

Option 2: Using Rest API
With 2nd option, you can call this Rest API from web, android, iOS or any hybrid mobile application.

Computer Vision AI / Machine Learning Tensorflow

OCR Demo

OCR Demo for English and Korean Language using Tesseract library.

OCR English Korean Tesseract

Food Snap

You might have seen the app where you type the food item name and the app will show you the micro-nutrients in it like Calories, Carbs, Fats, Proteins etc.

This app is a demo to show by just clicking a picture of the food item you will get to know the calories, carbs etc.

This classifier is running on the phone so internet is not must and off-course its fast.

Computer Vision AI / Machine Learning Tensorflow

Cricket Mania

CricketMania offers you real-time cricket scores with exact information on attributes such as ‘Odds’ and ‘Sessions’, and everything else that will help you in staying updated with latest in the world of cricket.

Android Cricket

PhoneParLoan

Phoneparloan is the quickest and the easiest personal loan app running in partnership with the leading NBFCs. Situations and opportunities do not come knocking at your door! But we can, through the PhoneParLoan App! With just a few clicks and uploads of clear and complete set of documents, you can now avail instant hassle-free loans with zero-collateral fees and very low interest rates for 7 to 30 days with flexible repayment tenures.

App Android API FinTech

Fast Object Detection Algorithm

ORB is basically a fusion of FAST keypoint detector and BRIEF descriptor with many modifications to enhance the performance. First it use FAST to find keypoints, then apply Harris corner measure to find top N points among them. It also use pyramid to produce multiscale-features.

AI / Machine Learning Computer Vision Object Detection