WordBlog – Stories That Matter
💻 WordBlog – Stories That Matter
Description:
A modern, design-driven blogging platform created to empower writers and readers to share meaningful stories through a clean and engaging interface.
Key Highlights:
🌐 Developed as a personal project, focusing on creativity, storytelling, and impactful design.
💻 Designed and built the complete frontend and UI/UX independently from scratch.
📱 Ensured the platform is fully responsive, offering a seamless experience across all devices.
🎥 Integrated a video-based hero section with smooth transitions and animations.
🌀 Implemented interactive scrolling, hover effects, and category-based blog sections (Travel, Food, Fitness, Finance, Education, Startups).
👩💻 Added featured author stories for a professional and realistic blogging experience.
⚙️ Built using HTML, CSS, JavaScript, Vite, Locomotive Scroll, and SwiperJS for smooth performance and interactivity.
🎨 Focused on delivering a minimal, modern, and user-friendly design.
Outcome:
A responsive and visually appealing blogging website that blends storytelling, design, and technology — proving that the right words can transform ideas into movements.
🔗 GitHub Repository: https://github.com/VedantChavan385/WordBlog
DigitalMentor – Full-Stack Mentorship Platform
📌 Description
A full-stack mentorship platform designed to connect mentors and mentees through a role-based dashboard, secure authentication, interactive chat interface, and resource management system. Built with a scalable architecture and optimized for real-world EdTech and career-guidance workflows.
🛠️ Tech Stack
🎨 Frontend
EJS (Embedded JavaScript Templates)
HTML5, CSS3
Custom UI components
Responsive layout and static assets
⚙️ Backend
Node.js + Express.js
RESTful API architecture
bcrypt / bcryptjs for password hashing
Session and cookie-based authentication
MVC pattern (routes, controllers, models)
🗄️ Database
MongoDB Atlas (Cloud NoSQL)
Mongoose ORM
🧩 Tools & Packages
dotenv
cookie-parser
express-session
Nodemon (dev)
Socket.io (for real-time chat)
WebRTC (for video session)
🚀 Key Highlights
Clean and user-friendly UI built with EJS templates
Secure authentication using encrypted passwords
Separate mentor and mentee workflows
Interactive dashboard for streamlined navigation
Modular folder structure for scalability and maintainability
Mentor profile pages with expertise, bio, and avatar
Chat interface enabling real-time mentor–mentee communication
Resource upload and management functionality
Login and Signup pages with validation and session handling
🔗 Links
📁 GitHub Repository:
https://github.com/VedantChavan385/DigitalMentor
🌐 Live Website:
https://digitalmentor.onrender.com
Heart Disease Prediction System
🩺 Heart Disease Prediction using Machine Learning
A Heart Disease Prediction System that uses machine learning to predict whether a person is at risk of heart disease based on key medical parameters.
🔍 Project Overview
The project analyzes patient health data such as age, cholesterol level, resting blood pressure, chest pain type, blood sugar, ECG results, heart rate, and more. Using these features, the trained model predicts the likelihood of heart disease — helping support early diagnosis and preventive care.
🧠 Tech Stack
Languages: Python
Libraries: Pandas, NumPy, Scikit-learn, Matplotlib
Model: Machine Learning classification algorithm (trained and saved as model.pkl)
Dataset: Heart Disease dataset (UCI repository / structured CSV data)
Notebook: Data preprocessing, model training, and evaluation done in Jupyter Notebook
📈 Key Highlights
Performed data cleaning and preprocessing for better model accuracy
Trained and evaluated multiple ML models to identify the best-performing one
Achieved a strong balance between accuracy and interpretability
Saved and deployed the trained model for real-time predictions
💡 Outcome
This project demonstrates how data-driven insights and ML techniques can be leveraged to assist healthcare professionals in early detection of cardiovascular risk.
