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RakshathaRani/README.md

Hi πŸ‘‹, I'm Rakshatha Rani

MCA Graduate β€’ Python Developer β€’ Backend Developer β€’ AI & Machine Learning Enthusiast


πŸ‘©β€πŸ’» About Me

πŸŽ“ MCA Graduate from Karnataka, India

πŸ’» Passionate Python & Backend Developer

πŸ€– Interested in Artificial Intelligence, Machine Learning and Signal Processing

🧠 Developed an EEG-Based Audio Reconstruction research project using Machine Learning.

πŸš€ Looking for opportunities as

  • Python Developer
  • Backend Developer
  • Software Developer
  • AI & Machine Learning Engineer

🌱 Currently Learning

  • Advanced Python
  • Django
  • REST APIs
  • Machine Learning
  • Backend Development

πŸ“ Vijayapura, Karnataka, India


πŸ’» Technical Skills

Programming Languages

Python

Java

C

R


Web Development

HTML5

CSS3

JavaScript

Django

Flask


Database

MySQL

SQL


Tools

Git

GitHub

VS Code


Artificial Intelligence & Machine Learning

Machine Learning

Artificial Intelligence

Signal Processing

Prompt Engineering

πŸ“‚ Featured Projects

🚌 Smart Bus Ticketing & Reservation System

Tech Stack

Python β€’ Django β€’ MySQL β€’ HTML β€’ CSS β€’ JavaScript

Features

  • User Authentication
  • Bus Search
  • Seat Reservation
  • Booking History
  • Payment Simulation
  • PDF Ticket Generation
  • Admin Dashboard
  • Booking Cancellation

πŸ”— Repository

https://github.com/RakshathaRani/Smart-Bus-Ticketing-Reservation-System


🦁 EEG-Based Reconstruction of Lion Sounds Using Ridge Regression, Grey Wolf Optimization and Griffin-Lim Audio Synthesis

MCA Final Year Research Project

Developed an intelligent desktop application capable of reconstructing realistic lion sounds from EEG-inspired signal processing using Machine Learning techniques.

Key Highlights

  • EEG Signal Processing
  • Feature Extraction
  • Ridge Regression
  • Grey Wolf Optimization
  • Griffin-Lim Audio Synthesis
  • Desktop GUI
  • Audio Playback
  • Performance Evaluation
  • Batch Processing

Repository Includes

  • Complete Documentation
  • GUI Screenshots
  • Project Workflow
  • Sample Outputs
  • Performance Metrics

Source code and research report are intentionally not included because the associated research paper is currently under editorial review.

πŸ”— Repository

https://github.com/RakshathaRani/EEG-Based-Reconstruction-of-Lion-Sounds-Using-Ridge-GWO-Realistic-Audio-Synthesis


πŸ“„ Research

EEG-Based Reconstruction of Lion Sounds Using Ridge Regression, Grey Wolf Optimization and Griffin-Lim Audio Synthesis

Status

πŸ“‘ Research Paper currently under Editorial Review

This work was completed as my MCA Final Year Research Project.

Project guidance provided by Dr. Anand Ghuli.


πŸŽ“ Certifications

  • Artificial Intelligence Internship
  • Django Full Stack Development
  • Oracle SQL
  • Prompt Engineering
  • Cloud Computing

πŸ“« Connect With Me

πŸ“§ Email

ranirakshatha@gmail.com

πŸ’Ό LinkedIn

https://www.linkedin.com/in/rakshatha-rani-90a11a2a3/

πŸ™ GitHub

https://github.com/RakshathaRani


πŸ’‘ Career Objective

I enjoy building reliable software using Python and modern backend technologies. My interests include Machine Learning, Artificial Intelligence, backend development, and solving real-world problems through technology. I am continuously learning and seeking opportunities where I can contribute while growing as a software engineer.


⭐ Thanks for Visiting!

If you like my projects, consider giving them a ⭐.

I'm always excited to learn, collaborate, and contribute to meaningful software and AI projects.

Happy Coding! πŸš€

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