Projects Portfolio

Welcome to my project portfolio! Here, you'll find a showcase of my work across machine learning, web development, and data analysis. Each project highlights the problem, approach, and technologies used. Explore the projects for detailed insights into my learning journey and skill development. I'm excited to continue growing this portfolio with new challenges and innovations..

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Full Stack
Machine Learning

Customer Churn Prediction

Developed and deployed a machine learning model to predict customer churn, aiding businesses in retaining at-risk customers. The project involved data preprocessing, feature engineering, hyperparameter tuning, and the use of classification algorithms (Logistic Regression, Random Forest, XGBoost). Achieved 86.7% test accuracy and deployed the model with a user-friendly Streamlit interface for real-time predictions.

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Streamlined Placement Management System

Digitized campus placement procedures by creating a centralized platform for managing job postings, applications, and notifications. Developed dashboards for placement officers to manage updates and student applications. Enabled students to track jobs, receive reminders about deadlines, and ensured seamless communication, accurate data management, and a hassle-free experience for all stakeholders.

Student Performance Prediction

Created a machine learning model to predict student math scores, helping identify areas for academic improvement. The project used various regression techniques, achieved an R² score of 0.88, and featured modularized code for enhanced readability and maintainability. Integrated the model with a Flask-based frontend for real-time predictions.

CodeBid – Tech Fest Bidding Platform

CodeBid, a dynamic web platform for the Techniverse tech fest, using HTML, CSS, JavaScript, Bootstrap, PHP, and MySQL with AJAX for real-time updates. The platform simulates a real-time bidding process where questions are displayed with a base price, and the price dynamically increases based on bids. Teams can log in individually to track their bids, view purchased questions, and submit answers directly on the website. The admin panel displays ongoing bids, sold questions, and the teams that have purchased them, along with the bid prices. The website's use of AJAX ensures seamless updates without the need for page refreshes, creating an engaging and interactive experience for participants during the event.

Career Prediction System

Career Prediction System, a machine learning tool that provides personalized career path recommendations based on skills, interests, and experiences, such as coding skills, work experience, and extracurricular activities. Using a Random Forest Classifier, the system offers reliable predictions and identifies skill gaps, suggesting relevant upskilling opportunities. The tool features a user-friendly Streamlit interface, ensuring an interactive experience for students and professionals exploring career options.

Stock Price Prediction using Machine Learning

Built a Stock Price Prediction System using time series analysis and the Prophet model to forecast stock prices based on historical data from the Yahoo Finance API. Developed an interactive Streamlit app that allows users to visualize stock trends and predict future prices over customizable time horizons, with Plotly visualizations for clear insights into market movements. This accessible tool caters to both technical and non-technical users, with future improvements aimed at incorporating real-time data for enhanced accuracy.