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Saurav-Pandit2005/README.md


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About Me

I'm a Computer Engineering Student passionate about Full Stack Web Development, Artificial Intelligence, and Machine Learning.

I enjoy building scalable and user-focused web applications, solving Data Structures & Algorithms problems, and exploring technologies that create real-world impact.

Currently, I'm focused on strengthening my MERN Stack Development, improving Problem Solving with Java, and building practical AI & ML applications.


Tech Stack & Skills

Programming Languages

Java Python JavaScript SQL

Frontend Development

React HTML5 CSS3 Bootstrap TailwindCSS

Backend & Databases

Node.js Express.js FastAPI MongoDB MySQL PostgreSQL

AI & Machine Learning

NumPy Pandas Scikit-Learn Streamlit

Tools & Platforms

Git GitHub VS Code Postman Jupyter Notebook Google Colab


Featured Projects

HealthSense AI — Health Tracker, Disease Risk Prediction & Wellness Planner

A full-stack health platform that lets users track daily vitals, get an ML-driven diabetes risk assessment, and receive personalized fitness & meal plans — all in one dashboard.

Features

  • Daily Health Tracking (vitals, sleep, water, steps, exercise)
  • Auto-Calculated BMI & Weighted Health Score
  • ML-Based Diabetes Risk Prediction with Per-User Explainability
  • Personalized Fitness & Meal Planner
  • One-Click PDF Health Report Export
  • 14-Day Trend Analytics Dashboard
  • JWT Authentication & Secure User Profiles

Tech Stack

React.js • Tailwind CSS • Node.js • Express.js • FastAPI • Scikit-Learn • MongoDB

Links


The Blog Hub | ( Articles – Podcasts – Resources )

A full-stack blogging platform built with the MERN Stack, designed to provide a complete content publishing and management experience.

Features

  • Authentication & Authorization
  • Blog Creation, Editing & Management
  • Categories & Search
  • Responsive User Interface
  • Admin Dashboard
  • User Profile Management

Tech Stack

MongoDB • Express.js • React.js • Node.js

Links


House Price Predictor

A machine learning application that predicts house prices using a trained regression model with an interactive Streamlit interface.

Features

  • Data Preprocessing & Feature Engineering
  • Machine Learning-Based Price Prediction
  • Interactive Prediction Interface
  • Trained Regression Model
  • Streamlit Deployment

Tech Stack

Python • Pandas • NumPy • Scikit-Learn • Streamlit

Links


Connect With Me


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  1. Backend-2026 Backend-2026 Public

    Complete Backend Development Journey (2026) – Node.js, Express.js, EJS, MongoDB, SQL, REST APIs, Authentication, Database Integration, and Backend Concepts with hands-on examples and notes.

    JavaScript 2

  2. DSA-2026 DSA-2026 Public

    Complete Data Structures & Algorithms (DSA) learning journey in Java. Covers arrays, strings, hashing, sorting, OOP, complexity analysis, and coding interview practice with solutions.

    Java 2

  3. ML-Projects ML-Projects Public

    Machine Learning web app that predicts house prices based on property features using regression models and an interactive user interface.

    Python 1

  4. The_Blog_Hub The_Blog_Hub Public

    AI-powered MERN blogging platform featuring role-based access control, author workspace, admin dashboard, premium resources, Cloudinary integration, and Gemini/Groq-powered content generation.

    JavaScript 1

  5. Web-Devlopment Web-Devlopment Public

    Complete Web Development learning repository covering HTML, CSS, JavaScript, React, Backend Development, Databases, and hands-on projects from beginner to advanced.

    HTML 1

  6. HealthSense-AI HealthSense-AI Public

    AI-powered health tracker with ML-based diabetes risk prediction, personalized fitness & meal planning, and PDF health reports. MERN stack + FastAPI/scikit-learn ML service. Final year project — ed…

    JavaScript