Shining Humans is startup by few college students which focuses on empowering poor local sellers by providing them a platform for selling handicrafts, artwork etc to a wide variety of customers.

• I am responsible for social media marketing to acquire new customers and sellers as part of the team. 
• I also find new business partners and celebrities for collaboration.
50+ sellers registered

Instagram : https://www.instagram.com/shining_humans/

Youtube: https://www.youtube.com/channel/UCuLt1SgVdc00xTQ0bAetcZw/featured

LinkedIn : https://www.linkedin.com/company/shininghumans

Playstore App: https://play.google.com/store/apps/details?id=com.app_realse_3.shining_human

Website: shininghumans.online

• Making social media posts and engaging audience. 

https://www.instagram.com/vecviit/

• Answering worldwide computer science questions from students to help them learn in a better way

Incoming Software Intern at Infineon | 2.5⭐ Leetcode | MERN | Flask | React Native

• Used MongoDB, Express.js, React.js and Node.js
• Developed a full-stack web application using MERN stack serving a REST API with React as the frontend
• Implemented Google OAuth and Calendar API to create meeting events after booking an a

HealthCareApp - Doctor Appointment Booking WebApp

• Arduino program to detect gas leak
• Used Gas sensor, Arduino, Breadboard, Resistors, LEDs, Buzzer, and LCD
• Simulated on TinkerCAD

Gas Detection System

• Railway Ticket booking system in C++.
• User can reserve, cancel and enquire.
• Admin can manage users, add trains, see log of reservations and cancellations.

Railway Reservation System

• Made a solar tracker which automates the rotation of solar panel towards the direction of the sun
• Used Arduino Programming, LDRs, and servo motors.

Solar Tracker

• A Frontend Web Application to store recipes in local storage. Used hooks and functional components
• Tech Stack: React.js, CSS

Personal Recipes Store

• A javascript based Object Oriented Game with moving enemies and keyboard controlled player.

Arcade Game

• A Mobile App to find project partner using ML recommendations 
• One can create their profile and swipe recommended profile cards. 
• Once, both persons swipe each other right, they'll be able to chat with one another. 
• Tech Stack: Reac

Sidhant Khamankar

Incoming Software Intern at Infineon | 2.5⭐ Leetcode | MERN | Flask | React Native