Projects Catalog

LinkedIn Learning Certifications

I firmly believe that education is my passport to the world, and so I embrace continuing education - it is one of my biggest lifelong ongoing projects. You can take a scroll through the following slides with all of my LinkedIn Learning certifications, or view them on my LinkedIn profile.

Tool(s) used: LinkedIn Learning

Though this was just a short video I watched, it was a great starting point for getting into learning about the kinds of financial statements.

Cashflow Statement Creation and Cost/Sales Sensitivity Analysis

As a part of my Entrepreneurship minor, I took up the course "Entrepreneurship: Principles and Practices (ECON 325)" at UNC, through which, I have mastered the art of doing quick, back-of-the-envelope cash-flow statements. As can be observed through my LinkedIn learning certifications above, I have also done a course that goes into the details of Income, Profit/Loss, and Cash flow statements. Here are some of the cashflow statements that I have made in order to demonstrate my skills:

Tool(s) used: Spreadsheets

Adobe XD UI Design Concept - "Newstopia"

Newstopia is a news community app where people can load articles from the internet, and then have civil, moderated discussions about the caliber and credibility of news articles and media channels.

Tool(s) used: Adobe XD

Introducing Newstopia

A community news app - run by the community, for the community.

Sign up

Sign in

Home (Feed)

User Profile Settings

App Settings

Searching for an article

Viewing an article

Viewing article comments

Adding a comment

Viewing article ratings

Adding a rating

Submitting any online article via URL to the Newstopia system

3D Concept Designs - Kiosk and Motorized Surveillance Robot

As a part of my Principles of Entrepreneurship course, I learned and applied rapid prototyping techniques to come up with two 3D designs in Tinkercad. I created first a rough design of a COVID-19-aware Kiosk system, which can perform face and finger recognition, can print tokens to act as a queue manager, and, last but not least, has a sanitizer dispenser (the magenta bottle to the left). Then, I created a rudimentary design for a robot that can perform surveillance via a camera. I believe it can become a great product for facilities where security is essential, such as prisons.

Tool(s) used: Tinkercad

COVID-19-aware Kiosk

A kiosk system that follows social distancing norms and can perform face and fingerprint recognition, temperature checks, and dispenses sanitizer fluid.

Mobile Intelligent Surveillance System (affectionately, M.I.S.S.)

A mobile robot system equipped with AI, and a camera, that can perform surveillance in areas where high security is needed.

Infographic on Natural Language Processing

Through the course Data Science in the Business World, offered in Spring 2021 jointly by UNC's Kenan-Flagler Business School and the Department of Computer Science, I have come understand the prominence of unstructured data in the digital world and the potential of Natural Language Processing. Here is an infographic that explains my thoughts in further detail.

LinkedIn Profile

I joined LinkedIn in late 2017, and have spent years trying to design my profile to leave a great, positive impression on visitors. Here is a snap of my current LinkedIn profile.

Resume

I wrote my first resume when I was applying for a university chapter membership back in November 2017. It was shabby and other than my academic achievements and small robotics projects, I did not have much to show. I have worked hard on developing my skillset and establishing myself as a skilled software developer who takes pride in his work, and is constantly on the lookout for learning new things and growing. The following resume is a result of those years of sweat and perseverance.

Samosabucket

Samosabucket is an open-source (GPL v3) food delivery web app which is easy (and free) to set up, and handles the full workflow needed to run a basic food delivery service. It was created with small restaurants trying to survive the COVID-19 pandemic in mind.

Tech used: MongoDB Atlas Express.JS React Node.JS Bulma CSS Cloudinary Positionstack Stripe Payments

Real-Time Face Mask Detection with MTCNN, PCA and SVM

This was my Fall 2020 COMP562 (Intro to Machine Learning) Project at UNC-Chapel Hill. We used a pre-trained Multi-Task Cascaded Convolutional Neural Network (facenet-pytorch MTCNN) and trained a PCA-SVM pipeline to detect faces in images and then classify them to see whether people in those images are wearing masks.

Dataset: The Face Mask Detection dataset on Kaggle was used - https://www.kaggle.com/andrewmvd/face-mask-detection

Tech used: Python Matplotlib OpenCV Pytorch (MTCNN) SciKit Learn (PCA, SVM) Jupyter Notebook

MediScan

MediScan is an Android app that allows the user to take a picture of any on-paper medical record. The user will then highlight areas of typed/handwritten text information to then digitize them into easily-readable spreadsheets by using Optical Character Recognition (OCR) via Google Cloud Vision.

Tech used: Google Cloud Vision Android Studio Java

Newstopia

Newstopia is a community-based mobile app that allows its users to critically rate articles and have meaningful, civil discussions regarding media trust and article legitimacy. I came up with the idea and then built a prototype along with my friends at HackNC 2019 - it was an iOS prototype app named "TrustMe". The DevPost link to TrustMe is provided below. Much more is coming to the app, and it is being developed privately.

Tech used: Google Cloud Firestore Algolia Xcode Swift

Chapel Hill Crime Insights

A dashboard that provides insights into Chapel Hill’s crime data, via visualizations made using Tableau.

Tech used: Tableau Wix website builder

SkillMatch - Website and Mobile App

A website and an Android app that enables VIT University students upload their resume, create portfolios, connect, recommend and chat with other VITians!

Tech used: PHP HTML5 CSS3 JavaScript jQuery AJAX Android Studio Java

PiVision

I came up with the idea, designed the project's architecture, was responsible for integrating the software components, and led our team of 5 to a top-10 finish at an all-India 36-hour hackathon with 170+ competing teams. The project consists of a RaspberryPi system connected to a camera, triggers recording upon motion detection, performs face recognition, and sends SMS intruder alerts via the Nexmo API that include a link to the live camera stream which we had set up using FFMPEG, an open-source live streaming solution. Our team received a Rupees 100k (about 1,350 USD) grant offer from VIT University's Technology Business Incubator for the same.

Tech used: Python OpenCV Nexmo SMS API RaspberryPi

Pitching at the hackathon

Here's a photo of us pitching the PiVision project to two judges at the national hackathon, named "SELECT Make-a-thon", conducted by SELECT (School of Electrical Engineering), VIT University.

Winning the hackathon!

We finished in the top 10 in the hackathon, and were invited to pitch for raising capital via the university's business incubation cell. The whole team was unable to convene at the awards ceremony due to ongoing classes, but thankfully one of us was able to spare out some time :)

Project close-up shot

We were provided the hardware on-venue, and were, as a result, unable to take back anything after the hackathon. But here is a pic that shows how the system looked like!

TheFarmersHub

A multi-lingual QnA platform for Indian farmers made using PHP, MySQL, Bootstrap and Google Translate API. Features a sentiment Analysis Engine (uses a Naive Bayes classifier) written in Python, and a dashboard made using Chart.js that provides stats about farmers' mental health.

Tech used: Python Naive Bayes Chart.js PHP