Hello, my name is
Shivam Upadhyay
And I'm
Resume

About me

👋 Hello! I’m Shivam Upadhyay,

A passionate tech enthusiast with a strong foundation in Machine Learning, C++, and Python. I hold a 🎓 Master of Computer Applications (MCA) degree from United Institute of Management Prayagraj, where I post graduated in 2024, and a 🎓 Bachelor of Computer Applications (BCA) from United Institute of Management [FUGS] Prayagraj, completed in 2022. Throughout my academic journey, I’ve consistently achieved 70%, reflecting my dedication to learning and growth. I have hands-on experience working on several personal projects, These projects allowed me to dive deep into various machine learning techniques and tools like Python, OpenCV, ResNet, Scikit-Learn, Flask.


📚 As a lifelong learner, I am constantly exploring new technologies and enhancing my skills. I’m particularly interested in leveraging AI and data science to create impactful solutions. Currently, I am focusing on expanding my expertise in machine learning algorithms like SVM, Naive Bayes, and KNN while staying updated with the latest advancements in the field.

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My Projects

Gender Classification

A machine learning project that classifies gender based on facial features using a deep learning model (VGG16). Implemented using Python, OpenCV, and TensorFlow. Flask is used for the web interface to upload images and display predictions.

Helmet Detection

A deep learning-based project using YOLOv8 for detecting whether motorcyclists are wearing helmets. The model was trained on a custom dataset and deployed using Flask, providing real-time detection through live camera feeds.

Plant Disease Detection

This project identifies plant diseases by analyzing leaf images using a pre-trained ResNet model. The application helps farmers detect early signs of diseases to take timely actions, utilizing Python, Scikit-learn, and Flask for web deployment.

Fashion Recommender System

A recommendation system that suggests fashion items based on user preferences and behavior using collaborative filtering and content-based filtering techniques. Built using Python, Pandas, and Scikit-learn, with a Flask interface for users to explore recommendations.

My skills

C++
Python
Machine Learning
Web Scraping
Flask
Streamlit
MongoDB
MySQL

Connect with me

LinkedIn

Currently looking for some Jobs, would love to hear from recruiters.
Github

I have pushed all the apps I have made till now here, visit it, any suggestion will be appreciated
Hashnode

Follow my blog, I share my Learing, and also write about new emerging technologies, new practises.
Twitter

I tweet about new technologies, current affairs and write short threads to help others.

Contact me

Get in Touch
Name
Shivam Upadhyay
Address
Bhadohi, UP, India
Mobile
+91 7897152741
Email
upadhyays868@gmail.com
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