Pinned Repositories
covid-tracker-india
A simple web application built using PHP and CSS to track COVID-19 cases in India. It provides real-time data on infection rates, recoveries, and fatalities. Users can view updated statistics and graphical representations of COVID-19 trends across different regions in India.
CRUD-Operations
A simple web application implemented in PHP for performing Create, Read, Update, and Delete (CRUD) operations on a database. It includes a user-friendly interface for interacting with the database, allowing users to manage records efficiently.
Emotion_Detection_CNN
Project leverages deep learning models to detect emotions from facial expressions using the FER-2013 dataset. It includes comprehensive preprocessing steps and compares the performance of custom CNN, ResNet, and VGG models. Implemented with Python and PyTorch, the project focuses on model training and evaluation based on accuracy and loss metrics.
RAG-on-PDF-LLM
A repository for setting up and initializing LLM using langcahain and HuggingFace, generating document embeddings, and connecting to Pinecone for vector database operations. Includes an example of using a Retrieval-Augmented Generation (RAG) model.
SQL-and-LLM-Integration
This repository contains a project that integrates SQL databases with language models. The project demonstrates how to establish database connection (with MySQL), and utilize language model (with LLaMa 3) utilities from the langchain_community library.
User-Management-System
A Java-based User Management System utilizing PostgreSQL, Java Servlets, JSP and JDBC for managing user registration, authentication, and role-based access control.
nish-cv's Repositories
nish-cv/RAG-on-PDF-LLM
A repository for setting up and initializing LLM using langcahain and HuggingFace, generating document embeddings, and connecting to Pinecone for vector database operations. Includes an example of using a Retrieval-Augmented Generation (RAG) model.
nish-cv/SQL-and-LLM-Integration
This repository contains a project that integrates SQL databases with language models. The project demonstrates how to establish database connection (with MySQL), and utilize language model (with LLaMa 3) utilities from the langchain_community library.
nish-cv/covid-tracker-india
A simple web application built using PHP and CSS to track COVID-19 cases in India. It provides real-time data on infection rates, recoveries, and fatalities. Users can view updated statistics and graphical representations of COVID-19 trends across different regions in India.
nish-cv/CRUD-Operations
A simple web application implemented in PHP for performing Create, Read, Update, and Delete (CRUD) operations on a database. It includes a user-friendly interface for interacting with the database, allowing users to manage records efficiently.
nish-cv/Emotion_Detection_CNN
Project leverages deep learning models to detect emotions from facial expressions using the FER-2013 dataset. It includes comprehensive preprocessing steps and compares the performance of custom CNN, ResNet, and VGG models. Implemented with Python and PyTorch, the project focuses on model training and evaluation based on accuracy and loss metrics.
nish-cv/User-Management-System
A Java-based User Management System utilizing PostgreSQL, Java Servlets, JSP and JDBC for managing user registration, authentication, and role-based access control.