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creatingtokenassessment

creditcardfrauddetector

Credit Card Fraud Detector is a React web app that predicts if a credit card transaction is fraudulent using a Python machine learning model. Users can input transaction data, and Flask facilitates communication between the backend and frontend. Backend files are located in the res folder. This app provides simple UI for user interaction.

fakenewsdetector

Fake News Detector is a React web application designed to identify fake news using a machine learning model. The backend, implemented in Python, processes the news entered by the user to determine it's authenticity. The backend files are located in the res folder. This project uses Machine Learning to Train the model.

functionsanderrors-eth-avax

jsassessment

languagetranslatorapp

This is a Language Translator App which is fully written in Kotlin Language that utilizes ML Kit for real-time language detection and translation. The app features text capture via camera and provides instant translations, making it an essential tool for travellers, language learners, and everyday use.

loginsignupsqlite

This Kotlin-based Android app facilitates secure user authentication through robust login and signup functionalities using SQLite. Ideal for applications requiring user account management, it allows new users to register with unique credentials and securely stores this information locally.

movieratingpredictor

Movie Rating Predictor is a React web app that predicts movie ratings (from 0 to 10) based on details like duration, actors' names, and director's name. It uses a Python machine learning model for predictions, with Flask facilitating communication between the backend and frontend. Backend files are located in the res folder.

portfolio

Welcome to my portfolio! I'm passionate about creating innovative solutions through software development. With a focus on leveraging technology to solve real-world problems, I strive to deliver intuitive and impactful solutions. Explore my projects and skills to see how I can contribute to your next project or initiative.

titanicsurvivaldetector

Titanic Survival Detector is a React web app that predicts the survival chances of Titanic passengers using a Python machine learning model. Flask is used for communication between the backend and frontend. The backend files are located in the res folder.