arsath-eng
Hi there, I'm Sitheek Mohamed Arsath 👋.I am currently doing computer engineering degree .I am Passionate about learning and exploring new technologies
Sri Lanka, Trincomalee, Pulmoddai
Pinned Repositories
AI-Spell-Checker
This app uses the GenerativeAI library to correct spelling mistakes in the input text.
arsath-eng
Welcome to my GitHub portfolio! I'm a Computer Engineering student specializing in Machine Learning and Full-Stack Development. This repository showcases my projects, skills, and journey in tech.
arsath-eng-Gemma-model-En-Ta
A lightweight and efficient English to Tamil translation model implementation using Google's Gemma 2b. This project aims to bridge language barriers while maintaining cultural nuances and context.
auth-google-github
Auth-Testing
A comprehensive authentication solution that demonstrates best practices for implementing user authentication in Next.js applications. Features include social login with Google and GitHub, MongoDB integration for user management, protected routes, and a responsive UI built with Tailwind CSS.
blog-next.js
credit-card-fraud-detection
This project is an end-to-end machine learning solution for detecting fraudulent transactions in credit card data, based on the Credit Card Fraud Detection dataset from Kaggle.
english-tamil-flaskApp
english-to-tamil-huggingface
RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
arsath-eng's Repositories
arsath-eng/arsath-eng-Gemma-model-En-Ta
A lightweight and efficient English to Tamil translation model implementation using Google's Gemma 2b. This project aims to bridge language barriers while maintaining cultural nuances and context.
arsath-eng/RAG1-NVIDIA-GENAI
A powerful Retrieval Augmented Generation (RAG) application built with NVIDIA AI endpoints and Streamlit. This solution enables intelligent document analysis and question-answering using state-of-the-art language models, featuring multi-PDF processing, FAISS vector store integration, and advanced prompt engineering.
arsath-eng/AI-Spell-Checker
This app uses the GenerativeAI library to correct spelling mistakes in the input text.
arsath-eng/arsath-eng
Welcome to my GitHub portfolio! I'm a Computer Engineering student specializing in Machine Learning and Full-Stack Development. This repository showcases my projects, skills, and journey in tech.
arsath-eng/auth-google-github
arsath-eng/Auth-Testing
A comprehensive authentication solution that demonstrates best practices for implementing user authentication in Next.js applications. Features include social login with Google and GitHub, MongoDB integration for user management, protected routes, and a responsive UI built with Tailwind CSS.
arsath-eng/blog-next.js
arsath-eng/credit-card-fraud-detection
This project is an end-to-end machine learning solution for detecting fraudulent transactions in credit card data, based on the Credit Card Fraud Detection dataset from Kaggle.
arsath-eng/english-tamil-flaskApp
arsath-eng/english-to-tamil-huggingface
arsath-eng/face_classification
a deep learning project that uses ResNet and Inception architectures to classify real vs AI-generated face images. The project includes two models trained on a custom dataset, achieving validation accuracies of 52.45% (ResNet) and 52.94% (Inception). Built with TensorFlow and Flask, and a web interface for real time face classification
arsath-eng/house_price_prediction
arsath-eng/License_plate_CV
arsath-eng/LLM-from-scratch-to-translation-for-English-to-Tamil
LLM built from scratch
arsath-eng/PMD_Central_college
arsath-eng/pyspellchecker
Pure Python Spell Checking http://pyspellchecker.readthedocs.io/en/latest/
arsath-eng/Tamil-spell-checker
arsath-eng/titanic-ml-project
arsath-eng/ToDo-next.js
A modern, full-stack Todo application built with Next.js 14, MongoDB, and TailwindCSS featuring real-time updates and a responsive design. 📱✨
arsath-eng/Yarl-Vibe-api
arsath-eng/Yarl-Vibe-ui