# Project 1:Line following robot
Description:
A line-following robot is a type of autonomous robot that is capable of tracking and following a line or path on the ground. These robots are commonly used in various applications such as industrial automation, logistics, and hobby projects. They typically consist of a chassis, wheels, motors, sensors, and a microcontroller for processing.
My Role:
I designed, programmed, and rigorously tested the autonomous robot to ensure precise line-tracking performance. My responsibilities included sensor calibration, implementing PID-like control logic in C++ (Arduino), hardware integration, and systematic debugging to optimize speed and accuracy.
Technologies and Tools:
- Arduino: Arduino is a popular open-source electronics platform based on easy-to-use hardware and
software. It's commonly used for building interactive projects and prototypes, making it an ideal
choice for creating a line-following robot.
- Sensors: Line-following robots typically use infrared (IR) sensors or reflective optical sensors to
detect the line on the ground. These sensors provide feedback to the microcontroller, allowing the
robot to adjust its direction accordingly.
- Motor Drivers: Motor drivers are electronic circuits or modules used to control the speed and
direction of motors. In the case of a line-following robot, motor drivers are essential for driving
the wheels or motors to maneuver the robot along the desired path.
- Breadboard or PCB: Breadboards or printed circuit boards (PCBs) are used for prototyping and
connecting electronic components such as sensors, motors, and the microcontroller. They provide a
convenient platform for wiring and testing the circuitry before final assembly.
- Programming Languages: Arduino programming typically involves writing code in the Arduino IDE using
a variant of C/C++.
# Project 2:Text encryption software
Description:
Text encryption software is a type of software designed to encode text data in such a way that it becomes unreadable to anyone without the proper decryption key. This software is commonly used to secure sensitive information, such as personal messages, financial data, or confidential documents, from unauthorized access.
My Role:
I designed and implemented a robust text encryption application, focusing on data security and user-friendly interaction. My role involved selecting and implementing the AES encryption algorithm, developing the backend logic in Java using NetBeans, and creating a secure interface to ensure reliable data protection for sensitive information.
Technologies and Tools:
- Java Programming Language
- AES Encryption Algorithm
- NetBeans IDE
- Git for Version Control
# Project 3: Smart Elevator Group Project
Description:
Led the implementation of a cutting-edge smart elevator system, revolutionizing vertical transportation in commercial buildings. The project aimed to enhance user experience, optimize energy efficiency, and improve overall building management. The smart elevator system incorporated advanced technologies to streamline operations and deliver a seamless and intelligent vertical mobility solution.
My Role:
- Research and Development
- Project planning
- Team coordination
- Hands-on involvement in the technical aspects
- System Integration
Technologies and Tools:
- IoT Integration
- Arduino
- Energy Management Systems
- User Interface (UI) Design(RemoteXY)
- Mobile App Development(RemoteXY)
# Project 4: DIY Gaming Steering Wheel with Arduino
Description:
Created a custom DIY gaming steering wheel with pedals powered by an Arduino Uno microcontroller. Instead of using a conventional potentiometer, I utilized a rotary encoder salvaged from an old mouse for steering input. This choice provides a cleaner signal, superior noise immunity, and significantly better durability—ideal for intensive gaming sessions. The system leverages interrupt-driven programming to efficiently process encoder inputs, ensuring precise and responsive steering control.
My Role:
- Hardware Design and Integration
- Arduino Microcontroller Programming
- Rotary Encoder Implementation using Interrupt Handlers
- Firmware Development and Testing
- Circuit Configuration and Optimization
Technologies and Tools:
- Arduino Uno Microcontroller
- Rotary Encoder (from recycled mouse)
- FLIP Software for Microcontroller Programming
- Interrupt-Driven Input Handling (Pins 2 & 3)
- C/C++ Arduino Programming Language
- Pedal Input Integration
# Project 5: Beatflare – Modern Music Player Website
Description:
Beatflare is a modern, lightweight, and open-source music player website designed to provide a smooth and enjoyable listening experience across all devices. The platform emphasizes clean design, powerful functionality, and an immersive audio experience. Desktop users enjoy enhanced controls, advanced visualizations, and full equalizer capabilities, while mobile users benefit from an optimized responsive interface. The application features an intuitive interface with comprehensive audio management and customizable sound effects.
My Role:
- Full-stack Web Application Development
- User Interface and User Experience Design
- Audio Processing and Visualization Implementation
- Theme and Aesthetic Customization System
- Responsivity and Cross-Device Optimization
Technologies and Tools:
- HTML5 for Semantic Web Structure
- CSS3 for Modern Styling and Animations
- JavaScript for Interactive Functionality and Web Audio API
- Audio API for Equalizer and Sound Effects Processing
- Canvas API for Audio Visualization
- Multiple Audio Format Support (MP3, WAV, OGG, etc.)
- Light & Dark Mode Theme Implementation
- Multiple Color Themes
- Responsive Design for All Devices
- Party Mode with Visual Effects
Key Features:
- ▶️ Play, Pause, and Skip track controls
- 📂 Support for multiple audio formats
- 🌙 Light & Dark Mode for comfortable viewing
- 🎨 Multiple Color Themes to personalize experience
- 🎚️ Customizable Equalizer with audio effects
- 📃 Effortless Song Management and library organization
- 🔊 Real-time Audio Visualizer
- 🎉 Surprise Party Mode for enhanced entertainment
- ✨ Optimized Desktop Experience with immersive controls
# Project 6: Advanced Audio Denoising System with CNN
Description:
An advanced audio denoising system leveraging Convolutional Neural Networks (CNNs) with U-Net architecture and a ResNet101 backbone. This deep learning-powered solution transforms noisy audio into clear, intelligible sound by intelligently separating voice signals from background noise. The system excels in challenging low signal-to-noise ratio environments, making it ideal for applications in voice assistants, call enhancement, accessibility technologies, and professional audio processing. Trained on the comprehensive LibriSpeech Noise Dataset, it demonstrates robust performance across diverse noise conditions.
My Role:
- Deep Learning Model Architecture Design (U-Net with ResNet101)
- Dataset Preparation and Preprocessing (LibriSpeech Noise Dataset)
- Model Training and Optimization (achieving 0.0083 validation loss)
- Client-Server Backend Implementation
- GUI Development using CustomTkinter
- Real-time Audio Processing Integration
Technologies and Tools:
- Python for Core Development
- TensorFlow/Keras for Deep Learning Framework
- U-Net Architecture with ResNet101 Backbone
- LibriSpeech Noise Dataset for Training
- CustomTkinter for User Interface
- Client-Server Model for Backend Processing
- Real-time Audio Recording and Playback
- Waveform Visualization Libraries
- Audio Signal Processing Libraries (Librosa, PyAudio)
Key Features:
- 🎙️ Real-time microphone recording and playback
- 📤 Audio upload functionality with waveform visualization
- 🔧 Robust client-server backend architecture
- 📊 Training on LibriSpeech Noise Dataset for diverse environments
- 📈 Achieved validation loss of 0.0083 after 100 epochs
- 🖥️ Scalable and user-friendly GUI with CustomTkinter
- 🎯 Effective noise reduction in low SNR scenarios
- ⚡ Optimized for voice assistants and accessibility applications
# Project 7: To-Do List Android App
Description:
A modern and user-friendly To-Do list mobile application built using Kotlin and Jetpack Compose. This application enables users to manage multiple task lists and items with seamless synchronization across devices. It combines offline-first architecture with cloud backup capabilities, providing a robust solution for personal task management with enterprise-grade features like real-time search, manual task reordering, and secure authentication through Firebase.
My Role:
- Full Android Application Development with Kotlin
- UI/UX Design using Jetpack Compose and Material Design 3
- Local Data Persistence Implementation using Room Database
- Cloud Integration with Firebase Authentication and Firestore
- Feature Implementation (Search, Reordering, Backup/Restore)
- MVVM Architecture Design and Implementation
Technologies and Tools:
- Kotlin for Android Development
- Jetpack Compose for Modern UI Development
- Room Database for Local Data Persistence
- Firebase Authentication
- Firebase Firestore for Cloud Data Storage
- Material Design 3 Components
- Coil for Image Loading
- ViewModel + Repository Architecture (MVVM)
- Coroutines for Asynchronous Programming
- Navigation Component for Screen Navigation
Key Features:
- ✅ Manage multiple task lists and items
- 🌙 Light/Dark mode with system auto-detection
- 🔍 Real-time search across all lists and items
- 🔐 Google Sign-In using Firebase Authentication
- ☁️ Cloud backup and restore via Firebase Firestore
- 🗃️ Offline data persistence using Room Database
- 🔄 Reorder tasks manually within lists
- 🖼️ Displays Google profile picture and username
- 📱 Built with Material Design 3 and Jetpack Compose
Application Screens:
- Home Screen - Dashboard with quick access to all lists
- To-Do Lists Screen - Browse and manage all task lists
- Items Screen - View and interact with tasks in a list
- Add/Edit/Delete Items - Create and modify tasks
- Search Screen - Find tasks across all lists in real-time
- Account Screen - Google Sign-In, backup, and restore functionality
# Project 8: Face Recognition Attendance System
Description:
A cutting-edge Face Recognition Attendance System that leverages AI and deep learning to simplify and automate attendance tracking. This intelligent system utilizes advanced facial feature extraction and classification to provide highly accurate real-time recognition, even in challenging conditions. The system seamlessly integrates with enterprise infrastructure including HR databases, time management platforms, and access control hardware, making it ideal for organizations of all sizes.
My Role:
- Deep Learning Model Implementation Using VGG16 Architecture
- Face Detection and Recognition Pipeline Development
- Integration of MediaPipe for Multi-Angle Face Detection
- Training System Design (Automatic & Manual Training)
- Enterprise System Integration
- Real-time Performance Optimization
Technologies and Tools:
- Python for Core Development
- VGG16 Deep Neural Network Model for Facial Feature Extraction
- MediaPipe for Multi-Angle Face Detection and Tracking
- TensorFlow/Keras for Deep Learning Framework
- Computer Vision Libraries (OpenCV)
- Facial Recognition Libraries
- Real-time Processing and Optimization
- Enterprise Integration APIs
Key Features:
- 🔍 Real-time Face Recognition powered by VGG16 model with highly accurate facial feature extraction
- 📸 MediaPipe Integration for multi-angle face detection in diverse lighting conditions
- ⚙️ Automatic Training when users are added or removed from the system
- 🛠️ Manual Training option for administrators to optimize accuracy
- 🔗 Seamless Integration with HR databases, time management platforms, and access control hardware
- 📈 Scalability & Flexibility supporting real-time updates and system customization
- ⚡ Enhanced Efficiency reducing administrative overhead while increasing accuracy
- 🚀 Future-Ready with planned GPU support, secure login pages, and cloud-based data storage
- 🔓 Liveness Detection to prevent spoofing and unauthorized access
- 🌐 Edge Computing capabilities for on-device processing
# Project 9: Text to MP3 Converter
Description:
A lightweight Node.js + Express web app that converts any text into a downloadable MP3 audio file using text-to-speech technology. This intuitive application provides a seamless experience with an in-browser audio player for preview before download, live character counting, and comprehensive input validation. Built with modern web standards and no framework dependencies, it delivers a clean, dark-themed interface optimized for both desktop and mobile devices.
My Role:
- Full-Stack Web Application Development
- Backend API Design and Implementation using Express.js
- Text-to-Speech Integration and MP3 Generation
- Frontend UI Development with Modern CSS and Vanilla JavaScript
- Audio Player Implementation and Download Functionality
- Input Validation and Error Handling
Technologies and Tools:
- Node.js v14 or later for Runtime Environment
- Express.js for HTTP Server and Static File Serving
- simple-tts-mp3 NPM Package for Text-to-Speech Conversion
- HTML5 for Semantic Web Structure
- CSS3 for Modern Dark Theme Styling
- Vanilla JavaScript for Interactive Functionality
- HTML5 Audio API for In-Browser Playback
- File System Operations for MP3 Generation and Storage
- npm for Package Management
Key Features:
- 🎙️ Convert text to speech and save as MP3
- ▶️ In-browser audio player — listen before you download
- ⬇️ One-click MP3 download
- 📊 Live character counter (up to 5,000 characters)
- ✅ Input validation with friendly error messages
- 🌐 Clean, modern dark UI — no frameworks required
- 📱 Responsive design for all devices
- ⚡ Fast and lightweight performance
Project Structure:
- index.js - Express server with API endpoints
- public/index.html - Frontend user interface
- public/audio/ - Generated MP3 files storage
- package.json - Project dependencies and configuration
# Project 10: Finance-TrackerGroup Project
Description:
A comprehensive personal finance management application built with Java Swing, designed for tracking income, expenses, and financial transfers with an intuitive GUI interface. Finance-Tracker is an Object-Oriented Programming (OOP) group assignment project that provides users with a secure, multi-user personal finance management system. The application allows users to track financial transactions, categorize expenses and income, generate reports, and visualize financial data through interactive 3D pie charts.
My Role:
- Object-Oriented Application Architecture Design
- Database Design and MySQL Integration
- User Authentication System Implementation with AES Encryption
- GUI Development using Java Swing and NetBeans Form Editor
- Financial Data Visualization with JFreeChart
- Report Generation (PDF and Excel Formats)
- Multi-User Data Isolation and Security
Technologies and Tools:
- Java (JDK 8 or higher)
- Java Swing for GUI Development
- NetBeans IDE for Application Development
- MySQL Database for Data Persistence
- JDBC for Database Connectivity
- AES Encryption for Password Security
- Apache POI 5.2.2 for Excel Generation
- iText for PDF Report Generation
- JFreeChart for 3D Data Visualization
- Apache Log4j 2.17.1 for Logging Framework
- PDFBox for PDF Handling
- Apache Ant for Build Configuration
Key Features:
- 🔐 Secure Login and Registration with Encrypted Passwords
- 💰 Income Tracking with Customizable Categories
- 💸 Comprehensive Expense Management with Detailed Notes
- 🔄 Fund Transfer Monitoring Between Categories
- 📊 Interactive 3D Pie Charts for Financial Analysis
- 📈 Real-time Balance Updates and Financial Dashboard
- 📄 PDF and Excel Report Generation with Date Range Filtering
- 👥 Multi-User Support with Complete Data Isolation
- 📂 Category Management with Predefined and Custom Options
- 🗄️ MySQL Database Integration for Secure Data Storage
- 🔒 AES Encryption for All Sensitive Information
# Project 11: Swarm Logistics Simulator - Multi-Agent Reinforcement Learning
