🎓 MCA Student | Aspiring Software Developer | Python | Java | Flutter | Machine Learning

I'm an MCA student interested in software development, web development, Python applications, Java programming, Flutter development, Machine Learning, Deep Learning, and data analysis.

I enjoy learning by building practical projects, solving programming problems, exploring new technologies, and documenting my work on GitHub.

• 🎓 Currently pursuing MCA
• 🎓 Developed LibHub — College Library Management System as my BCA final-year project
• 💻 Interested in Software Development & Web Development
• 🐍 Building applications using Python
• ☕ Practicing Java and Java Swing
• 📱 Learning and developing applications using Flutter & Dart
• 🤖 Exploring Machine Learning & Deep Learning
• 📊 Exploring Data Analysis & Data Visualization
• 🗄️ Learning database concepts and working with SQLite & SQL
• 🌐 Building interactive applications using Streamlit
• 🎨 Exploring modern frontend development
• 🔧 Using Git & GitHub to manage and document my projects
• 🌱 Always learning and improving my technical skills

• Python
• Java
• Dart
• HTML5
• CSS3

• TensorFlow
• Scikit-learn
• MobileNetV2
• Random Forest
• Machine Learning
• Deep Learning
• Image Classification
• Computer Vision

• Flutter
• Java Swing
• AWT
• Tkinter
• Streamlit
• HTML5
• CSS3

• SQLite3
• SQL

• pandas
• NumPy
• Matplotlib
• Plotly
• Tableau
• Microsoft Excel

• Git
• GitHub
• VS Code
• NetBeans

An AI-powered Plant Disease Detection and Disease Risk Prediction System combining Deep Learning, Machine Learning, and Streamlit.

The system uses a MobileNetV2-based Deep Learning model to identify plant diseases from leaf images and a Random Forest Machine Learning model to predict disease risk based on environmental and plant-related factors.

• 🌿 Plant disease detection from leaf images
• 🤖 Deep Learning-based image classification
• 🧠 MobileNetV2 model
• 📊 Disease risk prediction using Random Forest
• 🌡️ Temperature-based risk analysis
• 💧 Humidity and soil moisture analysis
• 🌧️ Rainfall-based risk analysis
• 🌱 Plant age-based risk analysis
• 🖥️ Interactive Streamlit interface
• 📈 Data analysis and visualization

• Python
• TensorFlow
• MobileNetV2
• Scikit-learn
• Random Forest
• Streamlit
• pandas
• NumPy
• Matplotlib
• Pillow

The PlantVillage dataset was used for training the Deep Learning model.

Due to the large size of the dataset, the complete training dataset is not included in this repository. The trained model and required project files are included.

Monika-M-19/Smart_Plant_Disease_System

LibHub is a Flutter-based College Library Management System developed as my BCA final-year project.

The project focuses on creating a digital library management platform with an organized and user-friendly interface.

• Flutter
• Dart

Monika-M-19/LibHub

A frontend development project completed as part of a frontend development task.

The project focuses on creating a polished and responsive user interface while applying modern frontend development practices.

• 🎨 Modern user interface
• 📱 Responsive design
• 🖥️ Frontend development
• ✨ Clean and organized layout
• 🌐 Deployed project
• 💻 Focus on user experience and visual presentation

Monika-M-19/velnox-frontend-task

A desktop-based Tic Tac Toe game developed using Java Swing.

• 👥 Player vs Player mode
• 🤖 Player vs Computer mode
• 🏆 Score tracking
• 💾 Persistent score storage
• ✖️ Winning move indication
• 🖥️ Interactive graphical interface

• Java
• Java Swing
• AWT

Monika-M-19/Java-Swing-Tic-Tac-Toe

A Python and Streamlit-based application for analyzing cryptocurrency market trends and presenting the results through interactive visualizations.

• 📊 Cryptocurrency market data analysis
• 📈 Interactive Streamlit dashboard
• 🗄️ SQLite database storage
• 📉 Matplotlib visualizations
• 📊 Plotly interactive charts
• 🐼 Data processing using pandas
• 🔢 Numerical analysis using NumPy

• Python
• Streamlit
• SQLite
• pandas
• NumPy
• Matplotlib
• Plotly

Monika-M-19/Cryptocurrency-Market-Trend-Analyser

A Python and Streamlit-based Cab Booking System designed to manage cab booking information using a database.

• 🚕 Cab booking interface
• 🌐 Streamlit web application
• 🗄️ SQLite database storage
• 📋 Booking data management
• 📊 Data analysis
• 📈 Data visualization

• Python
• Streamlit
• SQLite
• pandas
• NumPy
• Matplotlib

Monika-M-19/Cab-Booking-System

A Python Tkinter desktop application designed to compare different loan options and perform loan-related calculations.

• 💰 Loan comparison
• 🧮 Loan calculation
• 🖥️ Tkinter graphical interface
• 🗄️ SQLite database
• 📊 Matplotlib charts

• Python
• Tkinter
• SQLite
• Matplotlib

Monika-M-19/Loan-Comparison-System

A Tableau-based data analysis project focused on studying employment anxiety and career readiness among students.

• 📋 Student survey analysis
• 📊 Tableau dashboard
• 🎯 Career readiness analysis
• 📈 Employment anxiety analysis
• 📄 Project report

• Tableau
• Microsoft Excel
• Data Analysis
• Data Visualization

Monika-M-19/Employment-Anxiety-Career-Readiness-Analysis

A recipe website developed using HTML5 and CSS3, featuring different food categories, recipe sections, and a visually appealing user interface.

• HTML5
• CSS3

Monika-M-19/Recipe-Website

A simple and user-friendly Student Registration Form developed using HTML5 and CSS3 for collecting and organizing student information.

• 👤 Student personal information fields
• 📧 Email and contact details
• 🎓 Academic information
• 📝 Form input fields and selections
• 🎨 Custom CSS styling
• 📋 Clean and organized form layout
• 💻 User-friendly interface

• HTML5
• CSS3

Monika-M-19/Student-Registration-Form

• 🤖 Machine Learning & Deep Learning
• 🌐 Web Development
• 🐍 Python Application Development
• ☕ Java Programming
• 📱 Flutter & Dart
• 📊 Data Analysis & Visualization
• 🗄️ Database Management
• 🎨 Frontend Development
• 🔧 Git & GitHub
• 💻 Software Development Practices

My goal is to become a skilled software developer by continuously building real-world projects, strengthening my programming fundamentals, improving my problem-solving skills, and learning modern technologies.

I believe in:

Learn → Build → Practice → Improve 🚀

I use GitHub to:

• 📌 Document my projects
• 💻 Practice software development
• 📚 Showcase academic projects
• 🤖 Explore Machine Learning & AI
• 🌐 Build frontend and web projects
• 🧪 Experiment with new technologies
• 📈 Track my learning progress
• 🚀 Build my developer portfolio

I'm continuously working on new projects and improving my existing ones.

Monika-M-19

⭐ Thanks for visiting my profile!

Feel free to explore my repositories and follow my journey as I continue learning, building, and growing as a developer. 🚀