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RajKrishna2123/readme.md

Skills

  • Programming Languages: Python, C/C++
  • Web Development: Django, HTML, CSS
  • Databases: MySQL
  • Machine Learning Frameworks: TensorFlow, Scikit-learn
  • Deep Learning: ANN, CNN, GAN
  • Computer Vision: OpenCV
  • MLOps: Docker, CI/CD, Jenkins
  • Message Brokers: Kafka
  • Version Control: GitHub

Projects

Team and Hackathon Projects

1. Structural Recognition Backend

Company: Firellama Technologies Pvt. Ltd.
Location: Remote
Duration: June - September 2023

Link: Capstone_project

  • Developed backend (MLOps and microservices) with integrated ML model that achieved 98% accuracy in complex structural recognition.
  • Trained a table segmentation model on 1 million imagery data points.
  • Reduced training time by more than 50% through GPU-specific programming, decreasing preprocessing time from 46 hours to 21 hours.
  • Technology stack: OpenCV, TensorFlow, image segmentation, Docker, Django.

2. Med-Pro

Hackathon: Cloud Security Alliance, UPES University
Date: April 28-30

Link: Med-Pro

  • Developed a multimodal AI model for cancer and skin disease detection, segmentation, and classification. Won a hackathon for this project.
  • Developed an interactive web app for self-diagnosis in remote locations. Led a 3-member team to secure the 2nd runner-up position among 43 teams.
  • Tech stack: Django, HTML, CSS, TensorFlow, Scikit-learn, OpenCV.

3. random_face_generator

Institute: Dit University Duration: MAR 2024

Link: random_poission_blended_face_generator

  • Developed an Application that can assisted help its user to generate a random face from the feature either they select (from provided) or provide themselves.
  • This project utilises the poison blending technique with mask to paste features like eyes nose and mouth to the face by blending the edges according to the provided image.
  • Tech stack: Django, HTML, CSS, OpenCV.

Institute and Individual Projects

1. Rock Segmentation

Institute: IIT Dhanbad
Development Period: June - July 2023

link: Rock_Segmentation

  • Developed a rock segmentation model for early landslide detection and warning system.
  • its a rock segmentastion and classification model that detects edges seperate each rock then classifies into big, medium, small rocks
  • Tech stack: OpenCV, TensorFlow, Image Segmentation, Python.

2. Mini Map

Institute: DIT University
Development Period: January - February 2022

link: mini_map_daa_project

  • Developed to compare graph neural networks with traditional algorithms, aiding in the visualization of GNN advancements in pathfinding efficiency.
  • Tech stack: Django, TensorFlow, GNN, Algorithms (Dijkstra, Knapsack, Kruskal).

3. ERP System

Institute: Kendraya Vidyalaya
Status: Ongoing
Date of Initiation: December 2019

link: ERP-System-RK

  • its under continuos development i develop this application in my mean time.
  • the concept is to provide users to pay what they need basically multiple microservices with AI to help user build thier own ERP system like Lego as per thier requirements.
  • Microservices with unique functionalities, individually deployed for different services.
  • Tech stack: Docker, Django, MySQL, HTML, CSS, Microservices.

Certifications

  • Deep Learning A-Z: Neural Networks, AI & ChatGPT Bonus
  • Machine Learning A-Z: AI, Python, R + ChatGPT Bonus
  • Getting Started with TensorFlow 2

Pinned Loading

  1. capstone_project capstone_project Public

    This project is a research-driven product that has the potential to revolutionize the data entry process by seamlessly integrating highly accurate automation. The core of this work involves an in-d…

    Jupyter Notebook 3 1

  2. Med-Pro Med-Pro Public

    2nd runnerup in UPES student chapter hackathon 2.0 solving the problem statement Optical Character Reading, Tumor Segmentation, Cancer Detection, and Classification

    HTML 3

  3. Rock_Segmentation Rock_Segmentation Public

    Land slide prediction :- the classification of individual rocks into three categories: big, medium, and small. Additionally, the project aims to predict the falling pattern of these rocks by analyz…

    Jupyter Notebook 1 1

  4. random_poission_blended_face_generator random_poission_blended_face_generator Public

    HTML

  5. machine_learning_models machine_learning_models Public

    through the understanding of all basic practices in machine learning, this repository contains the broken steps of each procedure in order to support the understanding and ease of reusablity

    Jupyter Notebook 3

  6. ERP-System-RK ERP-System-RK Public

    My first application that I developed in 12th class and i still develop it to carve it to perfection this is a full fleged ERP system solution for all type of business yet it is still in developmen…

    HTML 3