About Me

Hi I'm Dipan, Web and App developer. I completed my schooling from Kolkata. Currently pursuing my B.Tech degree from Vellore Institute Technology Chennai. I'am fond of coding and problem solving techniques and algorithms. I like developing mobile apps and websites which are highly responsive and user friendly. I also take interest in interlacing harware and software to produce real working models.

Education

B.Tech in Electronics & Computer Engg.

Pursuing B.Tech in Electronics & Computer Engg. from Vellore Institute of Technology Chennai (Batch 2018-2022).
CBSE 2018

Completed class XI-XII with Computer Science from Birla High School Kolkata under CBSE cirriculum.
ICSE 2016

Completed class X with Computer Science from St' Thomas' Church School Howrah under ICSE cirriculum.

Skills

C C++

Dart Flutter Firebase Firestore

Python Django Mysql

HTML CSS Javascript

Data Structures & Algorithms

Machine Learning Algorithms

Adobe Illustrator

Projects

Farmer Helper

This contains mobile app for farmers and web application for the government authority. Using machine learning models of yield, disease and loss due to disease models we inform farmers and the concerned authorities. It also containes an chatbot, English to Hindi and text to speech features.

Exam Hosting Platform

This web platform helps teachers to create question papers and set their own date and time. Each question paper is locked with an unique key gien by the teacher. The students can use the key to attempt the test in the stipulated time. The site also calculates marks and displays the results in the Result section immediately.

Vibrance 2020

Appointed as a Student Coordinator for designing website for VIBRANCE 2020 VIT Chennnai's annual cultural event. The website contained valuable information helping students across the country to learn about vibrance and participate in the fest.

TechnoVIT 2019

Member of Website design team for a technical fest of VIT chennai TechnoVit 2019. Designed pages for different schools taking part, making page for sponsorship details, and statistical count details.

Face Recognizer

Security is of big concern today. We designed a basic application in python using Open CV to recognize face of an individual or differentiate mutiple faces appearing in a image. This technique can be implemented in various places to keep records.

Detection of R-peaks

ECG curves plays a key role in determining a patients condition in the medical field. The r-peaks in the ECG curve helps us to understand the breathing pulse rate. In this we detect the r-peaks using appropriate signal processing techniques to determine a r-peak. After which it can be used for determining pulse rate and other important health issues.

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