Mihir Hadavani's Projects
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A collection of AI/ML articles, guides and projects.
This GitHub repository contains a comprehensive analysis of crime data in Los Angeles. Leveraging a variety of data sources, tools, and techniques, we have explored patterns, trends, and insights related to criminal activities within the city. Our analysis includes data visualization crime dynamics in different neighborhoods and over time.
A cheat sheet for bash commands.
Using a FastAPI ( It is a Python framwork which provide you to create a rest ful api in python )
This project is made with node.js and express.js to create a routes and mongodb is used as Database
cenamatic is a sleek and user-friendly React.js web app that allows moviegoers to simply buy tickets for their favourite films.
This Next.js app uses the IMDb API to fetch movie information, including the title, release date, rating, and poster image. The app then displays this information in a user-friendly interface
The app is a simple counter that can be incremented and decremented using buttons. The counter is stored on the blockchain, so it is secure and tamper-proof. The app is made with Next.js, a React framework that is known for its performance and SEO capabilities. Thirdweb is a framework that makes it easy to integrate web3.0 functionality into Nextjs
A complete collection of algorithms and data structures written in c++ can be found in the "DAA_4" GitHub repository. The collection contains excellent and efficient implementations of well-known sorting, searching, graph traversal, dynamic programming, and other algorithms.
Devops Tutorial for Beginners - Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
This repository is a comprehensive resource for learning and practicing various DevOps tools and cloud computing concepts. It includes theory and practical files for popular DevOps tools such as Docker, Kubernetes, Jenkins, Ansible, Grafana, and Terraform.
The IMDb dataset is a valuable resource for conducting analysis on movies and TV shows. It provides a comprehensive collection of information about films, including titles, release dates, genres, ratings, and more. Analyzing this dataset can offer insights into trends, audience preferences, and the overall landscape of the entertainment industry.