Khushal Gautam

Education

IIITDM Kancheepuram

Dec 2020 - May 2024

B.Tech in Computer Science and Engineering. CGPA: 8.26/10.0

Shiv Jyoti Convent School

Apr 2017 - Mar 2018

CBSE Class 10th. Percentage: 91.8%

Shiv Jyoti Convent School

Apr 2019 - Mar 2020

CBSE Class 12th. Percentage: 93.2%

Experience

UI UX Intern - Veyyil Robotics

10th May 2023 - 9th August 2023

Throughout the internship, the focus was on exploring Generative Adversarial Networks (GANs). Understanding their functioning was a primary goal, and practical skills were acquired through hands-on experimentation with Midjourney, RunwayML, and Stability Diffusion. During this phase, a series of images suitable for company presentations and documentation were generated. Additionally, comprehensive documentation for Midjourney, RunwayML, and Stability Diffusion was prepared to benefit the organization. Consequently, a substantial understanding of prompt engineering and generative AI was achieved

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Design Intern - Third Wide Web

21st Mar 2023 - 15th Apr 2023

During my internship, I worked on Adobe Photoshop and Powerpoint presentations. I worked on NFTs and made some designs for the company.

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Projects

Sentiment Analysis with LSTM

Sentiment analysis on textual data using Long Short-Term Memory (LSTM) neural networks.

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Heart Disease Prediction using Classification

Python script for predicting heart disease using the Cleveland Heart Disease dataset from the UCI Machine Learning Repository. The script includes data preprocessing, outlier removal, feature scaling, model training using Logistic Regression, and evaluation of the model's performance.

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House price prediction

Python implementation of a multiple linear regression model for predicting house prices using scikit-learn's SGDRegressor. The project includes data loading, preprocessing, model training, evaluation, and visualization.

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Car Price Prediction using Neural Networks

Python code for predicting car prices using a neural network model. The dataset used for this prediction is cardekho_data.csv. The dataset contains information about various attributes of cars such as selling price, present price, kilometers driven, fuel type, seller type, transmission type, etc.

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Penguin Clustering with KMeans

Code for performing clustering analysis on a penguin dataset using the KMeans algorithm. The dataset includes measurements of penguin culmen length, culmen depth, flipper length, body mass, and sex.

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Heart Disease Prediction using Decision Tree

This project demonstrates the implementation of Decision Trees for classification using Python, particularly focusing on the sklearn library. It utilizes the Heart Disease dataset from the UCI Machine Learning Repository.

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Bokeh Effect Web App

Simple web application that applies a Bokeh effect to an uploaded image.

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To-do list

Web page for to-do tasks. We can add/delete/check a task in it.

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RGB Color guessing game

RGB Color guessing game have two levels (easy and hard). A random RGB value will be provided and user need to guess the color from it. In easy mode 3 options will be provided and in hard 6 options will be there.

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