deployed websites at upGrad campus :

1. https://upgrad-actima-pune.com/
2. https://job-application-process-executive.upgradcampus.com/
3. Career Portal used by more than 4500 + students to see and apply to drive & their profile management.
4. Admin Dashboard to manage drives , candidates and everything related to Career Portal .
5. https://transcendent-semifreddo-0c0c46.netlify.app/

deployed websites at Techhive Technology :

1. https://techhivetechnology.com/
2. Cab booking - https://chennaicabs.in/
3. Dedicated admin dashboard to manage all cabs

Other miscellaneous projects :

1. Assessment Management System , College Management System , Placement Management System .
2. Resume builder : https://tranquil-trifle-7e4027.netlify.app/
3. Admission Form : https://cms-admission-form.netlify.app/
4. Client Project - Simple Carate website :https://tangerine-twilight-278cbf.netlify.app/
5. Techhive website v1 : https://magenta-swan-76baca.netlify.app/
6. Security System One Page Application : https://heroic-sopapillas-9c3a08.netlify.app/
7. Client Project - Service Page : https://toyodigitalinnovation.com/

Other Stuffs : Api testing : in network section looking at api's of music web apps, websites Realted to stock prices, video Downloader from links and many more to see what payload they are sending what response they are getting how much authentic api's are, it's just exciting to see for no reason. Also in similar times i do search about ai and stuff have finetuned on gpt api where i have a table and i will be sending i want to filter all students who are from Delhi and have cgpa more than 8 and are good in react It will give response with some code which will be executed in some set of block which will show table after applying all filters it will give data in same variable which we used at time of training... Also in free time i do some web extraction like extracting some data playing with dom elements doing creating web extensions for some taks one example is getting stock options price data to create history data of index option chain by extracting data from some websites and then posting it to api which will store it in mongodb, it's pretty easy and fun to do.

If you have any questions or would like to connect, feel free to reach out to me through the following channels:

• Email: mohityadav3552@gmail.com
• LinkedIn: https://www.linkedin.com/in/mohityadav-code

Thank you for visiting my GitHub profile!