I am passionate about learning new things, coding, and creating innovative solutions. With skills in programming languages like Python, Java, and JavaScript, I aim to design user-friendly applications and explore data analytics to solve real-world problems.Beyond coding, I enjoy listening to music and simplifying complex tasks with elegant solutions.
An interactive, no-code web platform that enables users to easily create and publish personalized portfolios to showcase their skills, projects, and achievements. This builder is designed for non-technical users such as students, freelancers, and professionals who want to present their work online without writing any code. It offers customizable templates with additional features, and making portfolio creation intuitive and efficient.
React.js, Node Js, Express Js, MongoDB, Visual Studio Code, Github
A fully functional no-code portfolio builder with User registration & login, Customizable templates and themes, Sections for About, Projects, Skills, Resume, and Contact, Real-time preview of portfolio changes, Portfolios are mobile-responsive and SEO-friendly, Option to export portfolios as PDF or HTML format.
This project aims to predict whether a hotel booking will be canceled or not using historical booking data. By analyzing key factors such as lead time, customer type, booking history, and average daily rate (ADR), the model helps hotels make informed decisions to reduce cancellations, optimize revenue, and improve operational planning.
IBM SPSS Modeler, Excel/CSV, Machine Learning Techniques
A predictive model that accurately forecasts hotel booking cancellations, enabling hotels to Minimize revenue loss from cancellations, Allocate resources more efficiently, Improve customer service and satisfaction, Make data-driven marketing and pricing decisions.
https://github.com/Yadhavaramanan/Hotel-Cancellation-Forecasting
Introducing a smart way to build resumes! Our Digital Resume Builder, powered by Node.js, makes it easy to create and export professional resumes in minutes.
Node JS, React JS, MongoDB, Visual Studio Code, Github
The Digital Resume Builder helps users create professional resumes effortlessly. With features like sleek templates, one-click PDF export, and a user-friendly interface, it's powered by Node.js, React.js, and MongoDB to deliver a seamless experience. Perfect for anyone looking to stand out!
https://github.com/Yadhavaramanan/Digital-Resume-Builder-using-MERN-Stack
Speak in your language, and Flash instantly converts your voice to text and translates it into the language you need. Fast, accurate, and breaking barriers, it’s your ultimate tool for global communication.
Visual Studio Code, Python Libraries, Google Translate API, Flash
The Speech-to-Text with Translation tool using Flash allows you to speak in any language, instantly transcribing your words into text and translating them into another language. It's a fast, accurate, and user-friendly solution for breaking language barriers, perfect for communication in personal, educational, or professional settings.
Enhance your stay by pre-booking your meals at Hotels. Secure your dining reservations at our exclusive restaurants and enjoy priority seating, personalized service, and special discounts. Whether it’s a gourmet dinner, a casual lunch, or a hearty breakfast, pre-booking ensures you enjoy a seamless and delightful dining experience without the wait. Simply choose your preferred restaurant, select your dining time, customize your menu, and confirm your reservation.
Visual Studio, HTML, CSS, JavaScript
Provide pre-booking experience to the customers and Secure payment processing.
Sentiment analysis using the stock market involves analyzing the sentiment or emotions expressed in news articles, social media, financial reports, and other textual data to predict stock market movements. Machine Learning (ML) techniques are often used to perform this analysis.
Jupyter notebook, Python Libraries, Machine Learning Algorithms
A robust system capable of performing sentiment analysis on various textual data sources and predicting stock market movements based on these sentiment scores. The insights generated from this system can significantly enhance trading strategies, risk management, and investment decisions.
https://github.com/Yadhavaramanan/Stock_Market_Sentimental_Analysis
The Cricket Club Management System is a web-based application designed to manage the details of cricket players in a club. It allows administrators to perform essential CRUD (Create, Read, Update, Delete) operations on the player database. The system is built using PHP for the server-side scripting and MySQL for the database. Through this system, club administrators can efficiently manage player information, ensuring that data is always up-to-date and easily accessible.
Visual Studio, XAMPP, Mysql, PHP, HTML, CSS, JavaScript
Ensures that all player information is stored in a single, centralized location, making it easy to retrieve and update.
https://github.com/Yadhavaramanan/Cricket_club_management_System
CGPA: 8.113
Percentage: 80.17%
Percentage: 74%
I have a strong passion for learning new things and continuously expanding my knowledge base. Whether it’s diving into the latest technologies, exploring new programming language. This drive for knowledge keeps me on my toes and allows me to bring fresh perspectives and innovative solutions to the table.
Music has always been a source of inspiration and relaxation for me. Whether it’s listening to classical compositions, contemporary pop, or instrumental pieces, I find that music helps me focus and boosts my creativity.