Chirag Radhakrishna (ChiragRadhakrishna43-7)

ChiragRadhakrishna43-7

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Location:Santa Clara, United States

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Chirag Radhakrishna's repositories

Chatbot

An interactive chatbot using the OpenAI API.

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Computer-Graphics---Steam-Engine

Development of Steam Engine using OpenGL library functions.

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Computer_Networks_Projects

Socket Programming using programming languages.

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Cryptography

🗝️ Implementation of famous cryptography algorithms over computer networks. 🔐🔑

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Cyber-Security-and-Ethical-Hacking

Developed a project to demonstrate web application-penetration testing.

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Data-Structures-with-Java

Implementation of search techniques, sorting algorithms, arrays, linked list, stack, queues and trees using Java and BlueJ.

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DBMS-Mini-Project-5th-Semester-

Mini project regarding database management as part of the curriculum prescribed by VTU.

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Multiple-Disease-Prediction-System

Facilitates disease prediction by diagnosing user symptoms.

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Weather-Forecast-using-Python

Streamlit web-app for a weather forecast predictor using Python.

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Data-Structures-with-Python-Jupyter

Implementation of data structures using Python.

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Dice-Game-Challenge

Webpage to implement the dice game challenge

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Face-Mask-Detection

Development of a face-mask detector using tensorflow library.

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Heart-Disease-Prediction

ML model for heart disease prediction

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IPL-Data-Analysis

Analysis IPL match data using Python libraries.

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ISA-Pipeline

Instruction Set Architecture and pipeline to implement a new operation in the computer hardware.

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Mobile-Application-Development

Development of mobile application "ReciCheese" using Android Studio IDE.

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NBA-All-Star-Application---DBMS

An application that allows the user to book NBA tickets to the All-Star games. The application demonstrates the concept of database connectivity.

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Pacman

Implementation of different search algorithms for the Pacman game.

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Pacman_MultiAgents

Pacman games with multi agents. Evaluating the performance of Pacman and the ghosts.

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Pacman_QLearning

Implementing reinforcement learning for an agent and crawler. Both learn by exploring different paths to reach the goal state. Ultimately, both are able to find optimal paths. We can try both manual paths or simulate a number of episodes.

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Portfolio

Professional Portfolio

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Restaurant-Review-System

Natural Language Toolkit and Random Forest Classifier to analyze customer reviews.

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Temperature-Updates

Temperature Data with Node.js

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ToDo-List-with-Python

Developing a command-line, GUI and web-application of a ToDoList.

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Virtual-Drums

Web Application for virtual drums. Clicking a drum generates respective sound.

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Website-Development

Developed a basic personal website using HTML and CSS.

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