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Full Stack Developer

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MAIN INFO

About me

skills experience education

React Js

75%

Node Js

80%

Flutter

85%

Spring Boot

70%

Firebase

90%

Git & Github

95%
Jan, 2022 - Mar, 2022

Web Developer, Intern

NeoDocto

Developed Frontend architecture & Backend in web applications by ensuring cross-platform optimization for mobile phones.

Designed and developed APIs.

2019 - 2023

Bachelors in Computer Engineering

MET’s Institute of Engineering, Nashik

8.6 SGPA (Upto 7th Semester)

2017 - 2019

HSC

Shramik Junior College, Sangamner

71.85 % in Pune Boards

2010 - 2017

SSC

New English School, Talegaon Dighe

91.40 % in Pune Boards

Services

What i do

Application Development

Android, Flutter


Web Development

MERN


Artificial Intelligence

Python


Graphic design

Figma, Adobe XD


portfolio

Latest Works

All Web Applications Mobile applications Desktop Applications AI & ML
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BioZen - Ethereun based Flutter Application

Project brief:

• An Application for SuppplyChain of BioFuels

• Designed and developed an app for users to access, verify and track the real-time authenticity and sustainability of biofuels

• Implemented solidity smart contracts on Ethereum blockchain to ensure secured and tamper-proof tracking of biofuel transactions

Project info

portfolio view project

Git Contributors

Project brief:

• A WebApp which helps you to add realtime Contributors in your README.md file.

• Integrated Firebase realtime database to maintain data.

Project info

portfolio view project

File Merger Zipper

Project brief:

• An interface which merges multiple files to one file with (20-25 % size Compression)

• Encryption implemented using XOR Cipher.

Project info

portfolio view project

Mediary

Project brief:

• A WebApp interface act as an Intermediate between Healthcare & Patients.

• Aarogya Setu REST APIs used to get realtime Covid data vaccines availability.

• It helps to track vaccines availability which updates in every 4 mins.

product loading page

portfolio view project

MTCNN based Smart Attendance System by Face Detection

Project brief:

• Desktop tkinter application that uses facial recognition for student attendance.

• Automate attendance tracking using facial recognition by MTCNN.

• Streamlined attendance management, accurate tracking ( Upto 90% ), reduces manual effort.

Project info

  • Technology Used : Python, TKinter, TensorFlow, Keras, MTCNN
portfolio view project

personal portfolio

contact

Get In Touch

Phone

+91 8999746484

Email Address

onkardigheofficial@gmail.com

Address

Sangamner, Maharashtra, India - 422611

personal portfolio

Category - Web Application

Project brief:

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Project info

Project Details
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