I'm a second-year student exploring the world of data science and machine learning. Here, you'll find a collection of my projects, assignments, and experiments through my professional journey. I'm a geek with a strong enthusiasm for problem-solving and data-driven insights. Currently in second year pursuing B.tech in JSS Noida. I'm actively engaged in coursework, projects, and self-study to enhance my skills in data science, machine learning and DSA.
I worked on a project to predict the price of a house based on various features like location, area, etc. I used various regression models like Linear Regression, Decision Tree, Random Forest, etc. to predict the price of the house.
As a memeber of GDSC, I worked on various projects and conducted workshops on various technologies like ML, Web Development, etc. I also helped in organizing various events like Hackathons, Events, etc.
Created a web platform to analyse crime rates in the state of Karnataka by using Flask, Python, to analyse data and predict crime through various visuals such as interactive hotspot maps and graphs.
Analysed the Covid-19 date wise data of India and predicted the number of cases for the next 30 days using ARIMA, SARIMA and facebook's Prophet models. The data was visualized using various graphs and charts.
Steady helps students with ADHD in studies and finishing tasks, projects, revision etc by giving them proper tasks, schedules, tips, and help them manage time and attention. It uses Langchain, Gemini API and Streamlit for the UI.
It uses pytorch to create the model by learning how to play the classic snake game. At first, it generates random moves then slowly learns. It also shows the progress with the number of games played in a matplotlib window.