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Student Management System

Student Management System

Complete student management solution with attendance tracking, grade management, and parent communication portal.

HTML CSS JavaScript Node.js MongoDB

Key Features:

  • Student registration & profile management
  • Attendance tracking with reports
  • Grade management system
  • Parent-teacher messaging
Diabetes Prediction ML

Diabetes Diagnosis AI-ML Web App

A machine learning web application that predicts diabetes risk based on 8 clinical parameters using a Support Vector Machine (SVM) model, deployed as a live Flask web app.

Python Scikit-learn Pandas NumPy Flask Joblib Render Git & GitHub

Key Features:

  • SVM Classifier trained on the PIMA Indians Diabetes dataset (~77% accuracy)
  • Flask web interface with a clean, responsive design
  • Real-time predictions via a user-friendly form
  • Educational content about diabetes risk factors and model details
  • Live deployment on Render for public access
Coming Soon
Coaching Institute SaaS

Coaching Institute SaaS

A comprehensive SaaS platform for coaching institutes to manage operations, students, and finances.

MongoDB Express React Node.js Redux

Key Features:

  • Multi-tenant architecture
  • Student & batch management
  • Fee tracking and invoices
  • Performance analytics
Portfolio Builder

Portfolio Builder for Students

A drag-and-drop tool that helps students create professional portfolios without coding.

HTML CSS JavaScript LocalStorage

Key Features:

  • Drag-and-drop interface
  • Pre-built templates
  • Export as HTML/CSS
  • No server required
Weather App

Weather Forecast App

Real-time weather application using OpenWeatherMap API with 5-day forecast.

Python Flask API Bootstrap

Key Features:

  • Current weather conditions
  • 5-day forecast
  • Search by city
  • Responsive design
Sentiment Analysis

Sentiment Analysis Tool

NLP-based tool that analyzes sentiment of text reviews and classifies them as positive, negative, or neutral.

Python NLTK Scikit-learn Flask

Key Features:

  • Real-time sentiment analysis
  • Batch processing of multiple texts
  • Visualization of results
  • API endpoint for integration

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