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About Me ℹ️

I am currently pursuing an MSc in Data Science as part of a 5-year integrated program at PSG College of Technology, currently in my 3rd year. My primary area of interest lies in data science, particularly in supervised and unsupervised learning, along with LLM.

Projects 🛠️

SecureSwipe 💳

• Description: Developed a fraudulent credit card detection website using Streamlit.
• Technologies Used: Streamlit, Python, Machine Learning
• Link: SecureSwipe Repository

ExchangeInsight 💱

• Description: Utilized Python to predict foreign currency exchange rates.
• Technologies Used: Python, Machine Learning, freecurrencyapi.com
• Link: ExchangeInsight Repository

ArtisticAlchemy 🎨

• Description: Implemented an Image Diffusion Model leveraging a pretrained stable diffusion model, integrating Variational Autoencoders (VAEs) and UNet models for advanced image generation.
• Technologies Used: Python, Diffusion Models, PyTorch, Transformers
• Link: ArtisticAlchemy Repository

CallWizard ☎️

• Description: Developed a comprehensive phone recommendation system utilizing SQL for database connectivity, BeautifulSoup for web scraping GSMArena, HTML/CSS for the user interface, and Power BI for data visualization.
• Technologies Used: SQL, BeautifulSoup, HTML/CSS, Power BI
• Link: CallWizard Repository

SecuHash 🔒

• Description: Implemented a Merkle Trees project in C++ using a simple hash function to ensure data integrity and security in technologies like Blockchain.
• Technologies Used: C++, Merkle Trees, Blockchain
• Link: SecuHash Repository

Skills 🧠

• Programming Languages: Python, C++
• Data Science: Machine Learning, Data Visualization
• Tools: Streamlit, Power BI
• Other Skills: SQL, Web Scraping

Contact Me 📧

• Email: [email protected]
• LinkedIn: Kanishka Kannan on LinkedIn

Let's Connect 🔗 Feel free to reach out to me for collaboration opportunities or to discuss anything related to data science and machine learning!