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HEY,I'M JAYSRI
Welcome to my portfolio
📁Some projects I have worked on
PREDICTIVE MAINTENANCE FOR MANUFACTURING EQUIPMENT
A Predictive Maintenance System that predicts whether a machine will fail and identifies the type of failure. The system combines binary and multi-class classification techniques to provide accurate predictions. I used MongoDB to store and retrieve machine data efficiently. To address the issue of imbalanced data, I applied SMOTE to improve model performance. The model was built using XGBoost, achieving an impressive accuracy of 98.4%.
YOUTUBE DATA HARVESTING AND WAREHOUSING USING MONGODB
This project is designed to harvest data from YouTube using the YouTube Data API, display it using Streamlit, and store it in a SQL database. It fetches information about channels, videos, and comments and provides a user-friendly interface to interact with the data.
CAR PRICE PREDICTION USING MACHINE LEARNING
Car price prediction is a Flask web app which predicts the selling price of the car with various features like Car_Name, Year, Selling_Price, Present_Price, Kms_Driven, Fuel_Type, Seller_Type, Transmission, and Owner.
RED WINE QUALITY ANALYSIS USING CLUSTERING AND PCA
This project involves analyzing the red wine dataset to explore the relationships between wine features, perform clustering with K-Means, and reduce dimensionality using Principal Component Analysis (PCA).
FLIGHT FARE PREDICTION
This project involves predicting flight prices based on various factors such as the airline, journey date, source and destination, duration, and other related information. The aim is to build a machine learning model that can accurately forecast flight fares given these inputs.
REVENUE ANALYSIS IN HOSPITALITY DOMAIN USING POWERBI
This Power BI project is a comprehensive dashboard that provides key insights into the performance of hotel properties across various cities.
PHONEPE PULSE DATA VISUALIZATION AND EXPLORATION: STREAMLIT AND PLOTLY
The PhonePe Pulse GitHub repository contains a large amount of data related to various metrics and statistics. The goal is to extract this data and process it to obtain insights and information that can be visualized in a user-friendly manner.