Projects

Hospital Operation Management System

Major Project - NITK Surathkal, 2021

Internet of Things
Embedded Coding
Web Development
Data Analytics
Digital Signal Processing
Deep Learning

We developed an IoT-based 'Smart Hospital' environment by integrating a Django-based web server with an embedded system capable of recording patient vitals like temperature, SpO2, heart-rate & ECG. The website assisted doctors & nurses in realtime & continuous patient health monitoring, electronic health records & hospital analytics. We could further identify abnormalities in heartbeat patterns using a trained multi-layered LSTM.

Collaborator: Rajamani Ayyer.

AI-boosted Online Ordering for CubeStops

Cube Highways Hackathon, 2021

Web Development
Recommendation Engine
Image Processing

I developed an online application where highway travelers would be able to pre-order food using a virtual menu at highway-side amenities called 'CubeStops'. Based on the customer's order history, the menu would also smartly recommend food items.

Signalytics

Worldwide AI Hackathon, 2021

Simulation
Graphical User Interface

I developed a simulation & analytics tool for testing different kinds of dynamic traffic signal scheduling algorithms for various traffic conditions. The simulation uses realistic car speed & acceleration/deceleration motions. At the end of simulation, unique metrics are recorded and compared between different algorithms.

Data Analyses on Kaggle

Personal Project

Data Analysis
Data Visualizations

I have analyzed several Kaggle datasets in engaging ways and with interesting visualizations to improve my Python & R programming skills. I have often focused on combining such data analyses with storytelling and keeping the visualizations concise and insightful.

DigitBoard

Tensorflow Microcontroller Challenge, 2021

TinyML
Embedded Coding

I developed a fun TinyML prototype where an IMU sensor attached to a pen tracks the pen's motion, piezo-electric cells (underneath the writing surface) detect any writing activity and a TinyML model running on a microprocessor predicts the digits being written.

Reassurance Chatbot

India PropTech Hackathon, 2021

Machine Learning
Natural Language Processing
Chatbot
NL-to-SQL
Time Series Forecasting

I developed a chatbot aimed at providing answers, clarifications & reassurances to under-construction homebuyers. Using NL-to-SQL, the chatbot can answer customer-specific queries while construction updates and forecasts can also be delivered by the chatbot.

Deep Learning Architectures for Teeth Segmentation from Dental X-Rays

Image Processing Mini-Project - NITK Surathkal, 2020

Deep Learning
Image Processing

We implemented teeth segmentation on dental x-rays using models & techniques like Fully Convolutional Networks, U-Nets, Attention, encoder-decoder networks, ResNet, DicNet & Atrous Spatial Pyramid Pooling. Our model combinations performed much better than standard image processing techniques.

Collaborator: Sahith S R.

Emotion Classification using Audio Signals

Speech & Audio Processing Project - NITK Surathkal, 2021

Deep Learning
Digital Signal Processing

We developed a multi-path Conv-LSTM neural network with local attention to train on temporal, frequency & statistical features extracted and processed from an audio signal to identify the speaker's emotion.

Collaborators: Kumar Alabhya, Sachin Doddamani & Vishal Ray.

Personal Portfolio Webpage

Personal Project

Web Development

As one of my pet projects, I developed this website to improve my web development skills. My main focus was to create a customized, mobile-responsive & quick-to-glance portfolio website.

Natural Language to SQL Conversion

NITK IRIS Labs, 2020

Deep Learning
Natural Language Processing

We developed NL-to-SQL querying capabilities for NITK's IRIS website's chatbot for efficient & smart searching of its IRIS database.

Collaborators: Arpit Jadiya & Arpitha R..

Sarcasm Detection in Reddit comments

IEEE NITK, 2020

Deep Learning
Natural Language Processing

We developed a model to detect sarcasm in Reddit comments by extracting content-based & context-based information using BERT sentence embeddings.

Collaborators: Tulasi Chandana, Akshara P., Shruthan R. & K. Krishna Swaroop.

Simulation of Synthetic Aperture Radar

Digital Signal Processing Mini-Project - NITK Surathkal, 2020

Digital Signal Processing

We developed MATLAB code to apply Digital Signal Processing concepts to process & visualize the output of a Synthetic Aperture Radar.

Collaborator: Vishal Ray.

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