Ghanshyam Prajapati's Projects
Our website with all the features of the app like resources, job listing, hacks, tips & tricks, and more in a dictionary-like fashion
A platform that allows customers to share their feedback, complaints, and suggestions, and that helps companies track and respond to them.
Developer Student Club Task
This is my Portfolio
Get started with your very first pull and push request
Competetion for getting started with github . Get started with your very first pull and push request
JAVA Lab
Java Tutorial For Beginners with 500 Code Examples
Jump Game
My personal Portfolio
NaukriDekho – A Job Portal for Household/Daily Wage Workers. It is a Web based Application through which a job-seeker can get any kind of job as per his/her need and a job-provider can post the job. We have used HTML, CSS and JavaScript for Front-end and PHP and MySQL for Back-end . Please have a look at Demonstration Video-https://lnkd.in/ghqAbkhs
Periodic Table A GUI based Learning Platform to learn Periodic Table
Placement Prep is a platform which provides Placement oriented coding questions related to all the different topics such as DSA , database and many other topics related to computer science . It also helps users to track their progress by using many available features on the platform. The users can schedule a reminder for revising their concepts and coding questions, Frontend : HTML, CSS, JavaScript, Bootstrap Backend : Django & MySQL Tools: Git/GitHub, VS Code, Canva, Google Chrome
The project presents plant disease detection using image processing techniques for use in the agricultural field. In agriculture research of automatic plant disease detection is essential in monitoring large fields of crops, and thus automatically detects symptoms of disease when given an input image. For this approach, the automatic classifier CNN had been used for classification based on learning with some training samples of that fifteen category. Finally, the simulated result shows that a used network classifier provides minimum error during training and better accuracy in classification. The input is given in the form of an image where after prediction it reveals the output whether it is healthy or diseased and it also reveals the category it belongs to.
Streamlined portfolio creation for developers, designers. Seamless integration with GitHub, Behance. Java backend, Angular frontend, MySQL storage.
Practice Questions and Problems
Product search platform with user registration, login, and search functionality. Browse and view product details, filter by price, and check serviceability. Convenient tool for finding desired products.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent