Development Frameworks
Spring Boot Maven Java 11 JUnit Slf4j Spring Data JPA Hibernate C# ASP.NET
Web Development
Html CSS SCSS JavaScript Node.js React.js Express.js
Databases
MYSQL PostgreSQL Oracle DB DynamoDB MongoDB
Amazon Web Services
AWS Lambda Cloud Watch AWS API Gateway IAM AWS Cognito AWS SQS
Machine Learning / Data Science
Python Random Forest Sentiment Analysis Lemmatization Stemming
Others
Kibanna Latex IOT Agile REST Figma GitHub AWS LEX Microservices
Restricted Input is an open-source Maven project that utilizes Spring constraint
annotations to validate user input. It aims to be a comprehensive solution for all
your validation needs.
Currently, the project supports Restricted Input Annotations for specifying allowed
and prohibited strings/regex, phone number validation, and alphanumeric input
checks.
The idea behind Restricted Input was to create a flexible platform for all types of
validations, allowing customization to fit specific requirements. It was born out of
the need for a library that
offered the flexibility to restrict certain words, support regex, and whitelist
specific terms. Yes, the requirement was crazy, which is why I could not find
anything that does this! So, I decided
to build it, and while I was at it, I thought why not expand it even more? The
project continues to expand its features, with the goal of becoming a one-stop shop
for input validations.
Currently, I am planning to add a feature that detects if the input is a dangerous
one (SQL injection, XSS, etc.) and rejects it.
Implemented an ML project that predicts personality based on Resume/CV data. Utilized random forest, sentiment analysis, stemming, and lemmatization techniques. Achieved accurate personality predictions by deriving the big 5 score from the resume data. First, based on the keywords in the resume, a Big 5 score of the person was derived, then using the big 5 score, the personality was predicted using the trained model.
As a part of our web development course, me, along with my teammates developed a MERN website to sell official college merchandise, books and other products. The existing website was slow and developed using older technologies, so we decided to build one using MERN stack. The website was developed using agile methodology.
A weather application with a touch of humour which I developed as a part of learning application development. The application fetches the location of the user on click of a button, calls an external public api and displays it to the user.
Smart Library is a full stack IoT project which aims in changing the traditional Library Management Systems. Traditional Library Management systems require Human Effort to manage libraries. But the aim of this project is to automate and ease the process of library Management.
