DEBOLINA BANERJEE

Results-driven Java Developer known for high productivity and efficient task completion. Possess specialized skills in Spring Framework, RESTful APIs, and Microservices architecture which contribute to robust software solutions. Excel at problem-solving, teamwork, and adaptability, ensuring seamless collaboration and project success in fast-paced environments.

• Goethe-Zertifikat A1 Start Deutsch1 (79/100)
• Summer Internship Certificate | TCS
• Value added skill enhancement program on Web Development (National Institute For Industrial Training)

Developed a REST API using Spring Boot Framework using MySql Database

 Worked on implementing a Reset Password Module for Employee Front, where In order to allow our users to reset their passwords, our Spring-based application should be able to dispatch emails to users. Through these emails, we can provide OTP to our users detailing confirming the validity at the backend 

Coding Campus Zone

Tech Stack: React JS, Next JS, Tailwind CSS, Firebase With thousands of online platforms available in today's digital world, it might be challenging for students to choose one that is good, useful, and trustworthy for them. Students must locate a suitable platform that can meet all of their needs, including tutorials, courses, placement preparation, interview experiences, and several other queries. Our research methodology is primarily based upon some general background information from the beginners and their respective programming experience while they have been enrolled in such courses. The methodology further consists of some situations that would help students to learn programming via problem solving. 

Currency Converter App 

It is an application in Python, in which you can convert currencies of more than 20 countries using python, using Tkinter to create the GUI. In order to convert one currency into another, a user enters an amount of money (e.g. '1000') and chooses the currency he/she wishes to check the monetary value of (e.g. 'United States Dollar'). After that, the user selects one, or sometimes several other currencies, he/she would like to see the result in. The application software then calculates and displays the corresponding amount of money. 

TWEELORE Summer Internship Project | TCS - A web scraper is implemented via Twitter API which extracts info about company from social media handles from the posts made by the company using sqLite3 as database.

 - Performed data crunching on real-time Twitter data

 - Data Collection - Using Twitter APIs (Tweepy) to collect tweets based on the exact company Twitter handle.

 - Data Preprocessing - Sentiment analysis (using VADER ML model)

 - Data visualization technique (Word cloud, Pie-chart plots) - User can also download the excel sheet containing zipped data summary of the searched company, so as to check the Polarity of positive, negative and neutral words in the tweet

Face Mask Detection Using Convolutional Neural Network

 Aim of the project is to detect face with a mask or without mask. In the recent trend in worldwide Lockdowns due to COVID19 outbreak, as Face Mask has become mandatory for everyone while roaming outside, approach of Deep Learning for Detecting Faces With and Without mask was a good trendy practice. Here a model is created that detects face masks trained on 4489 images with 3 color channels (RGB). If the mask is on the face then it'll give a result 'Mask' and if the mask is not on the face then it'll give 'No Mask'. A single image can also be given to check the working of the same. On providing an image of a particular face to a model, it classifies whether that person wears a mask or not. When the program is executed then the camera will be open and model starts classifying the captured face in real time. The Custom CNN architecture Model Training accuracy reached 95% and Validation accuracy reached 96%.