Hi, I am
Chamindu Nipun
Chamindu Nipun
I am a
Computer |
I am a motivated and versatile individual, always eager to take on new challenges. With a passion for learning I am dedicated to delivering high-quality results. With a positive attitude and a growth mindset, I am ready to make a meaningful contribution and achieve great things.
Linkedin Profile
Skills
Here are some of my skills on which I have been working on for the past years.
Frontend
React Js
Redux
Next Js
HTML
CSS
JavaScript
Bootstrap
Material UIBackend
Node Js
Express Js
MongoDB
Python
MySQL
FirebaseAI & Machine Learning
opencv
tensorflow
pytorch
scikit_learnAndroid
Kotlin
Android StudioOthers
Git
GitHub
VS Code
Postman
FigmaProjects
I have worked on a wide range of projects. From web apps to android apps. Here are some of my projects.
ALL
WEB APP"S
ANDROID APP'S
AI & MACHINE LEARNING
Python
OpenCV
YOLO
Anti Spoofing/Liveliness Detector
Artificial Intelligence - Computer Vision Project
This project aims to develop an Anti-Spoofing/Liveliness Detector using computer vision techniques. The application detects real faces in a video stream and classifies them as either genuine or spoofed. Spoofed faces can include printed photos, masks, or other non-real representations.
React Js
MongoDb
Node Js
JWT
Bootstrap
Axios
Express Js
Bcrypt.js
Online Local Crop Marketplace and Delivery System
Web Application - Mearn Stack
This project is an online platform that serves as a marketplace for local crop producers to connect with consumers and facilitate the delivery of fresh produce. It aims to support local farmers by providing them with a platform to sell their crops directly to consumers while also offering a convenient way for users to purchase fresh, locally sourced produce.
Python
TensorFlow
Keras
OpenCV
Flask
Matplotlib
Pandas
NumPy
Traffic Sign Recognition
Artificial Intelligence - Deep Learning Project
Traffic Sign Recognition using Convolutional Neural Networks (CNN) is an application that utilizes deep learning techniques to classify traffic signs from images. This project aims to accurately identify different types of traffic signs commonly found on roads, which can be useful in various real-world applications such as autonomous vehicles, traffic management systems, and driver assistance systems.
Python
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Loan Status Prediction
Artificial Intelligence - Machine Learning Project
This project aims to predict loan status based on various features using machine learning techniques. Loan status prediction is a crucial task in financial institutions to assess the risk associated with granting loans to individuals or businesses. By analyzing historical data, this application predicts whether a loan applicant will fully pay off the loan or default.
Python
TensorFlow
Keras
OpenCV
Flask
SocketIO
AI Self Driving Simulation
Artificial Intelligence - Deep Learning Project
This project aims to simulate a self-driving car using deep learning techniques. The car is trained to navigate a track autonomously using a convolutional neural network (CNN) trained on simulation data.
Kotlin
Firebase
E - Learn Scool Android App
Mobile Application - Android
Welcome to the E-School Learning Android App repository! This project aims to provide an enhanced learning experience for school students through a comprehensive Android application. With a focus on user-friendly design and seamless functionality, our app caters to both students and administrators, offering a platform that fosters efficient learning and management
Python
PyTorch
NLTK
Flask
HTML/CSS/JavaScript
JSON
AgriMartBot
Artificial Intelligence - Chatbot Development Project
AgriMartBot is an AI-powered chatbot designed to assist users with inquiries related to agriculture and farming. Whether users have questions about crop cultivation, pest management, or agricultural equipment, AgriMartBot provides accurate and helpful responses in real-time.
React.js
Node.js
Axios
Express.js
MongoDB
Bootstrap
JWT
Bcrypt.js
Fruits Express
Webb Application - MEARN Stack
This project is a simple fruit shop application built using the MERN stack (MongoDB, Express.js, React.js, Node.js). It allows users to browse through various fruits, add them to their cart, and place orders.
Python
OpenCV
Gaussian Blur
Vehicle Counting System
Artificial Intelligence - Computer Vision Project
Vehicle Counting using OpenCV is an application that utilizes computer vision techniques to count vehicles passing through a specified area captured by a webcam or a video feed. This project detects vehicles in real-time, tracks their movement, and increments a counter every time a vehicle crosses a predefined line.
Education
My education has been a journey of self-discovery and growth. My educational details are as follows.
University of Ruhuna
Bachelor of Science, Computer Engineering
Mar 2021 - Mar 2026
Grade :
I am currently pursuing a Bachelor of Science degree in Computer Engineering at University of Ruhuna. I have completed 5 semesters. I have taken courses in Artificial Intelligence, Machine Learning, Web Application, Mobile Application Development, DevOps Engineering, Database Management Systems, Data Structures, Algorithms, Object-Oriented Programming, Operating Systems, and Computer Networks, among others.
H / Debarawewa National Collage
Feb 2016 - Aug 2018
Grade :
I completed my class 12 & 13 high school education at H/Debarawewa National Collage, where I studied Physical science.
H / Beralihela K. V.
Jan 2004 - Dec 2015
Grade :
I completed my O/L education at H/Beralihela K.V.
Experience
An Exploration of Social Dynamics: Insights and Observations
Physics and Chemistry Tutor (Advanced Level)
Nov 2018 - Aug 2022
Provided personalized tutoring to students preparing for Advanced Level examinations in Physics and Chemistry.
Skills:
• Effective Communication
• Student Motivation
• Teaching Methodologies
• Student Engagement
• Time Management
Mathematics and Information Technology Tutor (Ordinary Level)
Dec 2018 - Present
Taught Mathematics and Information Technology to Ordinary Level students, focusing on building foundational knowledge and exam preparation strategies.
Skills:
• Teaching Methodologies
• Curriculum Development
• Student Motivation
• Assessment and Feedback
• Classroom Management
Contact
Feel free to reach out to me for any questions or opportunities!