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kanis777/README.md

Hi there 👋

Kanishka Kannan 🚀

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 5th 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

DeepDoom-Learning-to-Survive 🎮

  • Description: DeepDoom is a deep reinforcement learning project built on top of ViZDoom, a Doom-based RL platform. This project explores the training and evaluation of AI agents using PPO, A2C, and DQN algorithms in complex FPS game scenarios.
  • Technologies Used: Python , PPO , A2C, DQN
  • Link: Deep Doom Repository

Multimodal-Sign-Braille-Translator 👋

  • Description: Built a Flask web app that takes input from speech, text, or images and converts it to Indian Sign Language (ISL) and Braille.We used Whisper, Google Speech API, and EasyOCR for transcription, along with language detection, translation, and grammar correction for better accessibility.
  • Technologies Used: Python ,Flask, OpenAI Whisper ,Google Speech Recognition API, EasyOCR, Langdetect, T5 (vennify/t5-base-grammar-correction), MarianMT (Helsinki-NLP), OpenCV ,MoviePy ,PIL
  • Link: Multimodal_Sign_Braille_Translator 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 📧

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

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  1. CineMood CineMood Public

    At this Movie Recommendation Engine, we suggest personalized movie recommendations based on your genre preferences or your mood or the time period you wish it comes from . Our platform is designed …

    Python

  2. Exchange_Insight Exchange_Insight Public

    The project focuses on developing a predictive model for foreign currency exchange rates, allowing users to predict exchange rates based on historical data.

    Jupyter Notebook

  3. SecureSwipe SecureSwipe Public

    Intuitive interface for exploring, visualizing, and predicting fraudulent credit card transactions.

    Jupyter Notebook

  4. Application-of-Dynamic-Programming-to-Solving-Reservoir-Operational-Problems Application-of-Dynamic-Programming-to-Solving-Reservoir-Operational-Problems Public

    Application of Dynamic Programming to Solving Reservoir Operational Problems

    C++

  5. TeleSearch TeleSearch Public

    "SplaySearch" is a C++-based project that employs splay tree data structures to facilitate efficient partial searches in telephone records.

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