Project INGPAR

Technische Universität Clausthal (Institute For Mathematics TU Clausthal)

DAAD -UGC, TUC- IISc Collaboration | Indo German Partnership for Advance Research and Education (INGPAR)

Field Of Study- IOT | Smart City | Statistics | Cyber Security | Cyber-Physical System

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  • Poster Presentation on Gender detection algorithm using a small(120 images) data set.
  • Developed a traffic decongestion model collaborating with the city Bengaluru on real traffic feed data. Overcame several challenges such as sparse data, un-codified driving etiquette, Used recurrent reinforcement learning
  • Presented paper on Machine Learning in Finance

Tech Womaniya

I’m the founder of Tech Womaniya – a is a community of women who deal with programming, mathematics, statistics, and applications of various technologies in diverse industries.

We focus on women who are into STEM, the main idea of this community is to strengthen and empower women in technology, mathematics, and engineering.

We meet to get to know each other better, exchange experiences, learn together and mutually support each other. We are inspired to act, develop and break stereotypes – the group’s goal is to build an environment conducive to development in all areas related to new technologies.

Linear Algebra Functions

The purpose of this project is to create a repository of functions for commonly used algorithms used in Linear Algebra. The following functions are given:

  1. LU factorization.
  2. LDM^T factorization.
  3. Cholesky factorization by LDM^T factorization.
  4. Cholesky factorization by outer product method.
  5. QR factorization by Householder reflections.
  6. QR factorization by Givens rotations.
  7. Inverse of Upper traingular Matrix.
  8. Least Square solution to Linear System of equations by QR factorization.

We use the algorithms mentioned in the following reference:

Reference : Golub, G.H., Van Loan, C.F. Matrix Computations

R package-Bayesian Binary Probit

This R package implements the Bayesian Auxiliary variable Model for Binary Regression, It performs the Bayesian estimation of the coefficients of Binary Logistic Regression with Probit link.

It is a self-contained package with functions for Cholesky decomposition and generating samples from truncated Gaussian distribution, which are used in the Bayesian estimation algorithm. The codes for all major computations are written in C, which achieves a 40x improvement in speed.

CHECK IT on Bayesian binary probit

Pot Hole Detection

The roads of Bengaluru are riddled with potholes. It would be beneficial to automate the process of detecting potholes, instead of manually looking for them. Drones can be used to collect images of roads. The purpose of this project is to build an algorithm for detecting whether there is a pothole on a road from the image of the road. We use a histogram based approach to detect potholes and image processing filters for building classification features.

Computer Seekho

Computer Seekho is an android app for small kids to learn python coding. It plays like a quiz game and asks questions about small snippets of python code ex. – types of sorting algorithms.

Learn python while having fun!

I have used Java and have deployed it using android.

Available soon on Playstore.

Soon will release a version with more codes and languages and Vocabulary

E-Guzzle

E-Guzzle is your guide to refuelling or recharging your Eco-Friendly Vehicle wherever you are in India. It finds you the electric vehicle charging stations nearby.

I have used java and have deployed it using Android studio.

Available on Play Store 

The next step would be a platform to find all kinds of fuels and energy resources by fetching real-time price update on daily basis. I’m working on it currently

The Scholar Den

 

In this growing world of technology, we have so many social media where people share their post, blogs, pictures, they talk about jobs and even troll political scenarios of their country or region.

There is nothing where people could hold quantitative mathematics discussion, or operations research discussions etc. So I thought to create a web app for academicians & professionals who are inclined towards academics The Scholar Den, for academic work.

I have used Ruby on Rails, HTML, CSS, JS and deployed it using Heroku