Hi,
I am Pranjal Sharma

Frontend Developer

A Computer Science Engineer passionate about Programming, Machine Learning and Design.

See Projects
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About Me

Hi, My Name Is Pranjal Sharma. I am Full Stack Developer & ML Enthusiast.

I am currently pursuing MTech in Computational Materials Engineering at IIT Roorkee.

I did B.Tech in Computer Science from UIET, CSJM University Kanpur.

I am proficient in Frontend skills like React.js, Recoil, React Native, Axios, Tailwind CSS, and many more.

In backend I know Node.js, Express.js, MongoDB.

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Projects

These are some of my best projects. I have built these with React, MERN, ML, DeepLearning, and Reinforcement Learning. Check them out.

Real Time Stock Dashboard

Real Time Stock Dashboard

This project is a real-time stock market dashboard built using React, Tailwind CSS. It provides users with live updates on stock prices, allowing them to monitor market trends and make informed investment decisions. The dashboard features a user-friendly interface, customizable watchlists, and real-time notifications for price changes.

Metal Casting Defect Detection

Metal Casting Defect Detection

This project implements a Convolutional Neural Network (CNN) to automatically detect defects in metal casting products. The model analyzes images of casting components and classifies them as either defective or non-defective with high accuracy. This automated inspection system can significantly improve quality control processes in manufacturing environments by reducing manual inspection time and ensuring consistent evaluation criteria.

Zip-Link

Zip-Link

Zip~Link is a robust URL shortener application developed using the MERN (MongoDB, Express.js, React.js, Node.js) stack. It empowers users to condense lengthy URLs into more manageable links and offers essential features like user authentication, a user dashboard, analytics, and more.

Text2Pic

Text2Pic

AI-based app for prompt to Img generator using Axios for API call, react js for front end, Flask for backend.

Poetify-GPT

Poetify-GPT

A AI powered web app for generating poetry based on user prompt. Built with Node.js, React, Recoil and Tailwind CSS

RealVibes

RealVibes

RealVibe is a dynamic React Native app, powered by Firebase and Expo, offering effortless reel creation, interactive viewing, and social engagement. Users can create, explore, and interact with short video reels, while the app optimizes loading and provides flexible playback controls. Experience the future of short video content with RealVibe.

Article Summarizer

Article Summarizer

A web app for Summarize your any website with given article link. Built with React, Recoil and Tailwind CSS

Movieflix-PJ

Movieflix-PJ

A web app for know trending Movie. Built with Node.js, MongoDB, React, Recoil and Tailwind CSS

Model-LunarLander-v2

Model-LunarLander-v2

This is a trained model of a PPO agent playing LunarLander-v2 using the stable-baselines3 library.

Potato Disease Detection

Potato Disease Detection

Pranjal-666/Potato-leaf-disease-detection

Agent playing Taxi-v3

Agent playing Taxi-v3

This is a trained model of a Q-Learning agent playing Taxi-v3 .

An Chat App

An Chat App

This is a trained model of a Q-Learning agent playing Taxi-v3 .

Agent playing FrozenLake-v1

Agent playing FrozenLake-v1

This is a trained model of a Q-Learning agent playing Taxi-v3 .

universe

Internship & Experience

These are my Experiences:

Psytech

Psytech

Product Engineering Intern

As a Product Engineering Intern at PsyTech, I contributed to several projects, including the development of a news aggregator app. During my time there, I worked on full-stack development of the app as a native application and conducted a sensitivity analysis on various machine learning models.

Apes AI

Apes AI

ML Intern

Worked on building Numbers of Data Sets, & done preprocessing and data wrangling on it. Using Pandas & Numpy for data preprocessing & wrangling, Clean it & make it ready to use on different ML models. Worked on Traffic Violation Detection using the YOLO algorithm, which detects traffic violations such as Red light jumping, Seat belt & Helmet worn or not, etc.

TATA Groups

TATA Groups

SDE Intern

Developed the Reward & Recognition System(R&R).For the employees using React, HTML, CSS, and JavaScript. Created the complete UI/UX for the R&R system, used the Real-Time Database of Firebase as Database, also used the Firebase authentication system for user authentication, and also host it using Firebase Hosting services.

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contact

Contact Me

I am currently open for a fulltime Frontend Developer & ML Developer role. If you want to discuss about that feel free to email me or call me.

Email: pranjal1476772@gmail.com || pranjal.software.engineer@gmail.com

Phone: +91 7895336610

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