Name: BHAVESH KABDWAL
Type: User
Bio: Hi π, I'm Bhavesh, Data Science enthusiast, Skilled in Python, SQL, Data Analysis, Machine Learning and Deep Learning.
BHAVESH KABDWAL's Projects
This Repository contains AI Resume Analyzer that utilizes PDF parsing, database management, SQL-Python integration, and data extraction from PDFs. It offers skill recommendations and suggests videos and lectures for skill enhancement, aiming to enhance resume quality and job prospects.
This repository contains a car parking space counter project using OpenCV and CVZone's Haar Cascade algorithm for object detection and counting. The system provides real-time monitoring and management of parking occupancy, enhancing efficiency and convenience for users.
"This repository hosts a 'Movie Recommendation System' that provides personalized movie suggestions. It enhances user experience by recommending movies based on user preferences and viewing history." π
Building a Sales Predictor ML Model
This repository contains a Machine Learning model that predicts the comprehensive strength of concrete
The classification goal is to predict the likelihood of a liability customer buying personal loans
βAmazon Auto Web Scraperβ is an automated bot designed to navigate through Amazonβs website, extract product details, and organize the data in a structured format. Itβs a powerful tool for gathering large amounts of data quickly and efficiently.
"This repository showcases a Streamlit Model Deployment project. It provides a practical guide for deploying Machine Learning models using Streamlit." π
This repository contains a machine learning project that predicts restaurant ratings. It leverages the Flask framework for model deployment, providing an interactive interface for real-time predictions.
Apply dimensionality reduction technique-PCA and train a model using principle components instead of training the model using just the raw data for Object_Recognition
This repository hosts code for a virtual AI keyboard, enhancing typing with AI-powered word predictions and suggestions. It includes libraries, frameworks, and data for easy integration and customization. Ideal for developers seeking intelligent typing solutions or users wanting a smarter keyboard experience.