A collection of the projects I’ve worked on during my college journey. These projects showcase my skills in software development, machine learning, and more.
May 2025 | Python, FastAPI, React, TailwindCSS, MLflow, Docker
Made for MLops endsem examination it is a full-stack machine learning application for predicting the likelihood of 8 different diseases, built with FastAPI for the backend and React with TailwindCSS for the frontend. The app allows users to submit data, receive predictions, and retrain the model via API endpoints. Integrated with MLflow for experiment tracking and Docker for deployment.
April 2025 | Python, OpenAI API, Speech Recognition
This is the first actual python project I made, although simple it was vcreated during my first year of engineering . This project combines speech recognition and text summarization using Python and OpenAI's API. The application captures spoken input, converts it to text using Google's speech recognition service, and then summarizes the text using OpenAI's language models. This tool is ideal for quickly obtaining summaries from verbal content, making it useful for note-taking, transcriptions, and more.
May 2025 | Python, Streamlit, Scikit-learn, Yahoo Finance API, Pandas
This project implements a stock price prediction application using linear regression. The app allows users to input stock symbols and date ranges to download historical stock data from Yahoo Finance. Using this data, a linear regression model is trained to predict the next day's stock price based on features such as open, high, low, and close prices. The model’s performance is evaluated using mean squared error (MSE), and users can interact with the app through an intuitive Streamlit interface to visualize data and get predictions.
May 2025 | Python, Streamlit, SQLite
This Streamlit web application manages an airline's flights, crew, and bookings using an SQLite database. It supports two user roles: Admin and Customer. The Admin can log in, add flight details (flight number, departure/arrival airports, times, aircraft type, ticket price), and manage the database. Customers can view available flights and book them by providing passenger details and booking information. The app also supports key functions like creating necessary database tables and adding new flight and booking records.