< Chandan D S | Portfolio

Chandan D S

I am

I’m Chandan DS, a 23-year-old MCA final-year student at The Oxford College of Engineering. I'm deeply passionate about technology, problem-solving, and creating efficient digital solutions that make everyday life easier. What drives my work is a strong curiosity to explore new tools, learn continuously, and apply my knowledge to real-world challenges. I enjoy working both independently and collaboratively, and I’m eager to contribute to impactful projects that push the boundaries of innovation.

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Chandan D S
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About Me

Hi, I'm Chandan D S from Kushalnagar, Kodagu, currently pursuing my Master's in Computer Applications (MCA). I'm passionate about technology and eager to start my career in the IT industry. Alongside my academic journey, I enjoy playing cricket, volleyball, and football. I also love reading books, traveling, listening to music, and watching series. I'm actively looking for job opportunities where I can apply my skills, learn continuously, and grow professionally. .

Education

MCA (Master of Computer Applications)

The Oxford College of Engineering, Bangalore

2023 – Present

Currently pursuing – Final Year

BCA (Bachelor of Computer Applications)

Field Marshal K M Cariappa College, Madikeri

2020 – 2023

Completed with 7.2 CGPA

Pre-University Course (PUC)

Vivekananda College, Kushalnagar

2018 – 2020

Completed with 80%

Skills

HTML, CSS, JavaScript,SQL
React.js, Tailwind CSS, Bootstrap
Git, GitHub, Figma
Python,Java,C++,C
Problem-Solving, Teamwork, Time Management

Projects

Travel Recommender Travel Recommendation System

Definition: A personalized trip suggestion engine built using ML and Flask.

Technologies: HTML, CSS, JavaScript, Python, Flask, Machine Learning

Features:

  • User input-based destination filtering
  • Machine Learning model for travel pattern prediction
  • Dynamic results rendered via Flask backend

Use: Ideal for travel planning and recommendation-based apps

Heart Predictor Heart Disease Prediction System

Definition: A predictive tool for assessing heart disease risk based on health metrics.

Technologies: Python, Streamlit, Pandas, Scikit-learn, ML (SVM, Logistic Regression)

Features:

  • Interactive UI using Streamlit
  • Data preprocessing and feature engineering
  • Multi-model predictions with visual results

Use: Supports early diagnosis and awareness in healthcare tools

IoT Air Monitor Air Monitoring IoT System

Definition: A real-time air quality monitor with cloud logging and environmental data sensing.

Technologies: Arduino, C++, MQ135 & DHT11 Sensors, ThingSpeak

Features:

  • Live AQI monitoring using embedded sensors
  • Data pushed to IoT platform (ThingSpeak)
  • Compact and scalable prototype

Use: Smart cities, pollution tracking, and educational use

Crack Detection Building Crack Detection

Definition: AI-powered system to detect cracks in structures via image classification.

Technologies: Python, Deep Learning, OpenCV, CNN models

Features:

  • Crack vs. no-crack image classification
  • Custom-trained CNN for accuracy
  • Predictive alerts for preventive maintenance

Use: Infrastructure safety, civil engineering inspection

Certifications

AI/ML with Python

Dotch Endeavours

Python for Data Science

IBM / Coursera

IoT Fundamentals

Hands-on IoT Training

Services

Tools & Technologies

VS Code
Jupyter Notebook
XAMPP Server
Git & GitHub
HTML & CSS
MySQL / MongoDB

Soft Skills

Communication
Teamwork & Collaboration
Attention to Detail
Continuous Learning Mindset
Leadership

Contact

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