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Hey πŸ‘‹, I'm Sourish!

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raysourish

Glad to see you here! Β 

I'm an undergraduate in Computer Science πŸŽ“ from Kalyani Government Engineering College πŸ›. I take pleasure in exploring emerging technologies and utilizing them to find practical solutions πŸ’‘. I love to explore new technologies and leverage them to solve real-life problems ✨. Apart from that I also love to guide and mentor newbies πŸ‘¨πŸ»β€πŸ’». I'm currently into Machine Learning and Data Science πŸ•ΈοΈ and working on my Data Structures and Algorithms πŸ€“.

Talking about Personal Stuffs:

  • πŸ‘¨πŸ»β€πŸ’» I’m currently working on: Text Summarization using seq2seq models
  • πŸ” I’m currently learning Transformers
  • πŸ’¬ Ask me about: Stocks
  • πŸ“« How to reach me: [email protected]
  • ⚑ Fun fact: I love watching anime 🐽
  • β™› Up for a chess game?

Contribution Stats

 My Streak

Sourish Ray's Projects

cpp-stl icon cpp-stl

A repository to understand C++ STL and use it in coding interviews and coding contests.

hand-sign-detection icon hand-sign-detection

Hand Detection Module with OpenCV and MediaPipe is a project aimed at providing an efficient and accurate solution for real-time hand detection and tracking. By leveraging the power of OpenCV and the MediaPipe framework, this module enables applications that require live hand tracking, gesture recognition, and multi-hand tracking

malaria-cell-detection icon malaria-cell-detection

This GitHub project focuses on the detection of malaria-infected cells using Convolutional Neural Networks (CNNs) and explores the effectiveness of transfer learning using popular architectures such as VGG16, VGG19, and ResNet.

movie-recommender-system icon movie-recommender-system

This Movie Recommender System is an advanced recommendation engine that suggests personalized movie recommendations to users based on their preferences and viewing history. It utilizes content-based filtering techniques and machine learning algorithms to generate accurate and relevant movie recommendations.

skip_cnn icon skip_cnn

This project is a deep learning model implementation for the MNIST dataset classification using residual connections

spam_classifier icon spam_classifier

A Naive Bayes spam/ham classifier based on Bayes' Theorem. A bunch of emails is first used to train the classifier and then a previously unseen record is fed to predict the output.

stock-analysis icon stock-analysis

Project about analyzing and backtesting Indian F&O stocks using technical indicators, momentum strategy, stop loss mechanism, rebalancing, and Pyfolio integration.

stock-price-prediction icon stock-price-prediction

This project, utilizes stacked LSTM neural networks to forecast stock prices based on historical time series data. By analyzing trends and patterns, preprocessing the data, training the model, and generating future predictions, this project provides insights for traders, investors, and financial analyst

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