Skip to content
View jayxdev's full-sized avatar
3 followers · 10 following

Highlights

  • Pro

Organizations

@FHTechs

Block or report jayxdev

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
jayxdev/README.md

Hi 👋 My name is Jay Dev

AI & ML | Data Science | Web Automation

  • 🌍  I'm based in India
  • 🖥️  See my portfolio at My Portfolio
  • ✉️  You can contact me at jay7080dev@gmail.com
  • 🧠  I'm learning Generative AI
  • 🤝  I'm open to collaborating on any projects
  • ⚡  Coding is one of my best hobbies, I do not feel tired while coding

Skills

Programming Languages

Python C C# C++

Frameworks & Libraries

TensorFlow Keras PyTorch Scikit-learn NumPy SciPy

Tools & Technologies

Docker VS Code GitHub

Socials


✨Github Stats:

jayxdev stats

⚡Activity Graph:

Activity Graph

Profile Visitor Count...


⭐️ From jayxdev (@jayxdev)

🛠 Projects

1. PCA-CNN Hybrid Model for Side Face Recognition

Developed a novel approach for side face recognition using a hybrid of Principal Component Analysis (PCA) for dimensionality reduction and Convolutional Neural Networks (CNNs) for feature extraction and classification. By integrating PCA as a preprocessing step, we achieve high accuracy while significantly reducing the model size compared to traditional CNN-based methods.

2. Sub-Object Detection with YOLOv8

Implemented an object detection pipeline that identifies and classifies objects within videos using the YOLOv8 model. The system also handles sub-object detection, draws bounding boxes around detected objects, and saves the results as images and JSON files.

3. Automated Rice Plant Disease Detection System

Developed an automated system using Python, TensorFlow, Keras, OpenCV, Scikit-learn, and Flask to detect diseases in rice plants.

4. Data Science Project: Customer Segmentation

Conducted a customer segmentation analysis using the Mall Customers dataset, focusing on identifying distinct customer groups and actionable marketing strategies.

5. Shape Logic Puzzle Game

Created a Streamlit-based game where users solve logic puzzles by identifying missing shapes in a grid.

Support Me

Buy Me A Coffee

Pinned Loading

  1. smart-shopping smart-shopping Public

    A multi-agent AI system for e-commerce, delivering hyper-personalized recommendations with <100ms latency and zero cloud costs.

    Jupyter Notebook

  2. intoxicating-substance-consumption-analysis intoxicating-substance-consumption-analysis Public

    This project aims to analyze the consumption patterns of intoxicating substances (such as alcohol, tobacco, and drugs) across different demographics using survey data. Insights are visualized throu…

  3. sub-obj-detector sub-obj-detector Public

    This project implements an object detection pipeline that identifies and classifies objects within videos using the YOLOv8 model. The system also handles sub-object detection, draws bounding boxes …

    Python

  4. node-deductive-reasoning node-deductive-reasoning Public

    Gamified Puzzle clone of Capgemini Selection Process

    JavaScript

  5. rice-plant-disease-detection rice-plant-disease-detection Public

    An automated system for detecting rice plant diseases using image processing and machine learning to improve agricultural productivity.

    Jupyter Notebook

  6. side-face-hybrid-pca-cnn side-face-hybrid-pca-cnn Public

    This project explores a novel approach to side face recognition using a hybrid of Principal Component Analysis (PCA) for dimensionality reduction and Convolutional Neural Networks (CNNs) for featur…