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Advanced 3D Perception for Robotics – Final Project
Object Detection & Segregation using Mirobot Collaborators: Fengyi Jiang, Alejandro Romera As part of our final project for CSCI2952-0 (Advanced 3D Perception for Robotics), we formulated a low-cost and precise pipeline for leveraging state-of-the-art object detection techniques to inform the robotic manipulation task of object sorting. We use the Mirobot robotic arm, the Intel Realsense…
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Blockchain White Paper
BoomerNet: A Proof of Experience Consensus Protocol & Decentralized Network BoomerNet is a novel Proof-of-Experience consensus protocol that tries to solve the rich growing richer paradox and centralization difficulties that popular blockchain consensus protocols like Proof-of-Work and Proof-of-Stake have. PoE accomplishes this by assigning an Experience Score to each node (called Boomer) depending on the…
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Computer Vision – Final Project
Artist Style Transfer using Cyclic Generative Adversarial Networks Collaborators: Aakansha Mathur, Sayan Chakraborty Artistic work is generally recognized through an artist’s brush strokes, color choices, color palette and so on. Each artist’s style is unique and hard to replicate. With advancements in computer vision however, Generative Adversarial Networks are now able to mimic such nuances…
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Deep Learning – Final Project
Comparative Study of Bubble Growth Dynamics with DeepONet Collaborators: Vivek Oommen, Sayan Chakraborty As part of the final project requirement for CSCI 2470 (Deep Learning), I worked in a team of three to implement a deep learning model called DeepONet that is able to accurately predict bubble growth dynamics. It is an operator network that…
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Machine Learning
Here’s a couple of Google Colab or Jupyter notebooks that I’ve created in order to explore various ML algorithms and techniques. The same can be found on my GitHub repository by clicking on the icon on the sidebar. Supervised Learning Algorithms Logistic Regression on HR Analytics dataset : https://github.com/trajnishBrown/machine-learning/blob/main/hr_analytics.ipynb Logistic Regression on Iris dataset :…
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Data Science – Final Project
Predictive Analysis of U.S. Wildfires As part of the final project requirement for CSCI 1951A (Data Science), I worked in a team of four to predict fire size or fire size category using data derived from a Kaggle data set : https://www.kaggle.com/rtatman/188-million-us-wildfiresThis dataset contains 1.88 million rows of wildfire information ranging between 1992 to 2015.…
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D3.JS – Data Visualization Dashboard
By leveraging a Javascript library called D3.JS, I render 3 visualizations and create a sort of dashboard for these. The data for these visualizations is pulled from a CSV file. This file contains data of international football matches between the years 1872 and 2020. More information on these renders can be found below the visualizations…
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Weather PWA
Learning about Progressive Web Apps and how traditional Web Applications can be converted to PWAs, I designed a Weather App in React and introduced a Service Worker that deals with cache storage, offline mode, etc. The amazing part about PWAs are how just a solitary code base is needed to run Web Apps on any…
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MERN Stack Development – WhatsApp Clone
Click the link below to view the deployed version of my WhatsApp clone built using the MERN stack. https://whatsapp-clone-tarun2.web.app/ About the Project:I built the UI using React.JS and used Material UI and Material Icons for the various Icons and Actions.This UI is deployed on Firebase using Firebase Hosting.The backend is built using Node.JS and runs…
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MERN Stack Development – TikTok Clone
Click the link below to view the deployed version of my TikTok clone built using the MERN stack. https://tiktok-clone-tarun.web.app/ About the Project:I built the UI using React.JS and used Material UI and Material Icons for the various Icons and Actions.This UI is deployed on Firebase using Firebase Hosting.The backend is built using Node.JS and runs…
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