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  • πŸ‘‹ Hi, I’m Rudraksh Naik
  • πŸ‘€ I'm a Python Developer, and interested in the Data Science , Machine Learning and Artificial Intelligence.
  • 🌱 I have worked on wide range of projects including Data Science Projects, Research Driven Projects and Computer Vision Applications.
  • πŸ’ž I also practise Competitve Programming.
  • 🎯 Technologies used : Git, MySQL, MongoDB, Python , OpenCV , Django , Mediapipe , Tensorflow , sklearn , Pandas , Numpy , Pickle , R language ...
  • πŸ“« How to reach me -> [email protected]
  • πŸͺƒ HackerRank profile : https://www.hackerrank.com/rud_rax

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Rudraksh Naik's Projects

ai icon ai

For educational purpose

connect-4-game icon connect-4-game

Basic Project to practise Frontend Development Skills (HTML , CSS , Javascript & jQuery)

hotel-inventory-management icon hotel-inventory-management

Project is created by Rudraksh , Kaustubh and Vaibhav as a DBMS Project. It helps a hotel manager to manage his hotel food inventory for continous supply of recipes to the customers.

imagecomparison icon imagecomparison

This project is aimed at comparing two mechanical drawings and determining the differences between them. The goal is to provide an automated way to detect any changes made to a drawing, which can be useful in various industries such as manufacturing, architecture and engineering.

potato-disease-classification icon potato-disease-classification

This project is one of the application of Deep Learning paired with Computer Vision in order to help the agriculture sector. It involves early detection of disease that a potato might have in order to avoid the spread of the disease.

py icon py

Repository to store sample python programs for python learning

railways_system icon railways_system

This is a DBMS project made by Rudraksh Naik and Dhruva Bhattacharya.

rud-rax icon rud-rax

Config files for my GitHub profile.

sentimentanalysis icon sentimentanalysis

This project is aimed at performing sentiment analysis on textual data using natural language processing techniques. The goal is to classify the sentiment of a given piece of text as positive, negative or neutral.

student-portfolio-using-face-recognition-2 icon student-portfolio-using-face-recognition-2

Face recognition is a method of identifying or verifying the identity of an individual using their face. Face recognition systems can be used to identify people in photos, video, or in real-time. Face recognition systems use computer algorithms to pick out specific, distinctive details about a person’s face. These details, such as distance between the eyes or shape of the chin, are then converted into a mathematical representation and compared to data on other faces collected in a face recognition database. The data about a particular face is often called a face template and is distinct from a photograph because it’s designed to only include certain details that can be used to distinguish one face from another. Some face recognition systems, instead of positively identifying an unknown person, are designed to calculate a probability match score between the unknown person and specific face templates stored in the database. These systems will offer up several potential matches, ranked in order of likelihood of correct identification, instead of just returning a single result.

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