Founder @ Browzer | 3x Founder, 2 exits

Rahul Arulkumaran  • Peerlist

– Designed and developed an LSTM model to predict occurrences of breakout by analyzing noisy sensor data in real time, in-turn preventing shutdown of manufacturing process. Successfully predicted breakouts with an accuracy of 97%. – Presented research at IEEE HYDCON and published in the IEEE journal.

Anomaly Prediction (Steel manufacturing) usin

This was a project that I worked on during the Hackathon organised by JNTUHCEH. It's a Bitcoin Price Predictor that uses visualisation techniques to figure out the important fields in a Dataset to perform a Data Science. Finally, I used the Linear Regression algorithm to predict prices of Bitcoins on any given day. This project helped me secure the 5th position in the Hackathon

Bitcoin Price Predictor

Created an anti depression bot using Rasa.ai and Python that figured out whether you'll fall into depression again and suggests an appropriate treatment for the same. Classification and Regression algorithms are used along with NLP. It currently runs as a messenger bot. Soon it'll run separately on a website.

Depression Detection Bot

This bot aims at helping you with Syntax lookup on the telegram app by just using one command. You can add this to your groups and call the bot to clarify syntax questions.

SyntaxDB Bot

Utlyz gets basic fb and news updates, lyrics of songs, football and cricket scores and updates and wikipedia and google search. It has also been extended to a mobile interface. You can find this bot on Telegram. The name of the bot is UtlyzMeBot.