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Hi 👋, I'm Suraj Varma

An enthusiastic individual with a strong interest in the field of Data Science.

  • 🌱 I'm delving into the realms of Data Science, Machine Learning, Deep Learning, and Artificial Intelligence.
  • 👨‍💻 Portfolio: Portfolios
  • 💬 Having conversations about AI project is something I truly find rewarding.
  • 📫 How to reach me: [email protected]

Connect with me:

https://www.linkedin.com/in/suraj-varma-7550ba278 https://www.instagram.com/suraj5424/ Kaggle

Languages and Tools:

css3 html5 python c

SurajVarma

suraj5424's Projects

course-management-sysyem. icon course-management-sysyem.

A C++ program for university course management, featuring `Course`, `Lecturer`, `Student`, and base `Person` classes. It supports course registration within 3-10 student limits, caters to both internal and external students, and includes a user interface menu. Focuses on object-oriented design, without needing data persistence.

cuisine-prediction icon cuisine-prediction

An NLP task to predict Cuisine from recipe data, visualize cuisine distribution, train MNB, XGBoost, CNN, and Random Forest models for cuisine prediction, and evaluate performance with accuracy, confusion matrix, and classification report.

game-score-management-system icon game-score-management-system

Developed a C++ program for managing combat games, transitioning from paper to digital. Features include player data entry, game management, dynamic point allocation, and winner announcement. Utilizes operator overloading for data input/output and comparisons. Designed for up to 6 players, with in-memory data storage during runtime.

gujarati-song-lyrics-markov-chain-generator- icon gujarati-song-lyrics-markov-chain-generator-

Generate Gujarati song lyrics using Markov chain model. Tokenize lyrics, create transition model, and generate new text. Utilizes NLTK library for tokenization and random selection for variability. Output represents creative continuation of original lyrics.

library-books-managment icon library-books-managment

A C++ library management program enables users to enter personal data, borrow, extend, and return books, with menu-driven interface and error handling, promoting efficient library operations.

movements-from-skeleton-data icon movements-from-skeleton-data

Predict future movements from skeleton data. Utilize XGBoost classifier on time series of 3D skeleton data for tasks like fall detection or gesture recognition. Preprocess, train, evaluate, and predict for submission.

predicting-future-movements-from-skeleton-data icon predicting-future-movements-from-skeleton-data

This notebook tackles predicting future movements from skeleton data, crucial for applications like fall detection or gesture recognition. Leveraging deep learning, it preprocesses the dataset, trains a CNN model, evaluates its accuracy, and generates predictions for submission, all in a structured manner.

product-management- icon product-management-

C++ program manages product list: add, display, sort by price, and check total items.

protein-sequence-analysis icon protein-sequence-analysis

This notebook does the analysis of a protein sequence dataset in FASTA format. It addresses challenges in data import, alignment, embedding, and classification using bioinformatics tools and machine learning techniques. The solution provides a systematic approach to extract insights from structured data, crucial for bioinformatics research.

ros-2-integration-with-mira-frame-work icon ros-2-integration-with-mira-frame-work

"Integrated ROS2 into MIRA-based robot navigation, overcoming errors & hardware challenges. Improved capabilities, set stage for future enhancements. Proficient in ROS2 Nav2 stack & MIRACenter(GUI)."

sudoku-puzzle-identifier-and-solver icon sudoku-puzzle-identifier-and-solver

This repository contains a Jupyter Notebook file equipped with code for identifying the position of digits in a Sudoku puzzle and solving it. The notebook implements algorithms for Sudoku puzzle solving, offering a practical tool for enthusiasts and learners alike to explore and understand Sudoku solving techniques. 2-2 METHODS FOR BOTH TASKS.

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