snehvora

certificates

Certificates of several activities, internships, workshops, etc.

chatbot_using_Neural_Networks

This chat bot is created using LSTM (many-to-many relation). The dataset consists of the conversation between peoples.

Deep_Convolutional_Generative_Adversarial_Networks

This model is basically used for deep learning.In this models i have used DCGANs and it are more powerful then ordinary GANs. Output image are saved at every 100 epochs which are stored in gan_images folder. Well I had not uploaded every images in it.Images within 9000 epochs are included in it. It will take almost 1 or 2 days to learn or to train the model. This can generate the images on its own which are not included in dataset.

house_price_prediction

Data mining is now commonly applied in the real estate market. Data mining's ability to extract relevant knowledge from raw data makes it very useful to predict house prices, key housing attributes, and many more. Research has stated that the fluctuations in house prices are often a concern for house owners and the real estate market.

IS601104

Legal-AI-For-Bankruptcy-Cases

The "Legal AI for Bankruptcy Cases" project is an advanced AI-driven system designed to assist legal professionals in navigating the complexities of bankruptcy law. This system employs a Retrieval-Augmented Generation (RAG) architecture to deliver precise and contextually relevant information from legal documents.

Machine_Learning_Roadmap

Deep learning is a form of machine learning which allows a computer to learn from experience and understand things from a hierarchy of concepts where each concept being defined from a simpler one. This approach avoids the need for humans to specify all the knowledge that the computer needs.

Portfolio

RAG_Application

This is a Retrieval-Augmented Generation (RAG) application built with Streamlit and LangChain that allows users to input URLs of articles, process these URLs to extract text, and then create a chatbot that can answer questions based on the processed text.

wordpress_site_automation

It is basically a Wordpress bot which scraps the news data from various site like Hindustan Times, NDTV etc and paraphrase it using paraphrase API which was hosted on digital ocean. Then it will open Wordpress admin step by step and perform on its own. We can directly go and watch the site in which the news or blogs will be updated. It has been some time since I created this project so maybe xpaths have been changed.

snehvora/wordpress_site_automation

It is basically a Wordpress bot which scraps the news data from various site like Hindustan Times, NDTV etc and paraphrase it using paraphrase API which was hosted on digital ocean. Then it will open Wordpress admin step by step and perform on its own. We can directly go and watch the site in which the news or blogs will be updated. It has been some time since I created this project so maybe xpaths have been changed.

snehvora/chatbot_using_Neural_Networks

This chat bot is created using LSTM (many-to-many relation). The dataset consists of the conversation between peoples.

snehvora/Legal-AI-For-Bankruptcy-Cases

The "Legal AI for Bankruptcy Cases" project is an advanced AI-driven system designed to assist legal professionals in navigating the complexities of bankruptcy law. This system employs a Retrieval-Augmented Generation (RAG) architecture to deliver precise and contextually relevant information from legal documents.

snehvora/certificates

Certificates of several activities, internships, workshops, etc.

snehvora/Deep_Convolutional_Generative_Adversarial_Networks

This model is basically used for deep learning.In this models i have used DCGANs and it are more powerful then ordinary GANs. Output image are saved at every 100 epochs which are stored in gan_images folder. Well I had not uploaded every images in it.Images within 9000 epochs are included in it. It will take almost 1 or 2 days to learn or to train the model. This can generate the images on its own which are not included in dataset.

snehvora/house_price_prediction

Data mining is now commonly applied in the real estate market. Data mining's ability to extract relevant knowledge from raw data makes it very useful to predict house prices, key housing attributes, and many more. Research has stated that the fluctuations in house prices are often a concern for house owners and the real estate market.

snehvora/IS601104

snehvora/Machine_Learning_Roadmap

Deep learning is a form of machine learning which allows a computer to learn from experience and understand things from a hierarchy of concepts where each concept being defined from a simpler one. This approach avoids the need for humans to specify all the knowledge that the computer needs.

snehvora/Portfolio

snehvora/RAG_Application

This is a Retrieval-Augmented Generation (RAG) application built with Streamlit and LangChain that allows users to input URLs of articles, process these URLs to extract text, and then create a chatbot that can answer questions based on the processed text.

snehvora/YouTube-panel-discussions-summariser

Context - You have been hired by a company which analyzes internet data to monetize it. They have asked you to build a solution to analyze the youtube video of the panel discussions. Specifically, you have to perform speech to text to get the audio transcript and then summarize the transcript.

snehvora/Smart_Inventory_Bot

The Smart Inventory Bot is an intelligent system designed to handle user queries related to inventory management. The bot efficiently processes natural language questions, routes them through either a SQL query generator or a Large Language Model (LLM), and responds with relevant data or natural language explanations.

snehvora/snehvora.github.io

snehvora/test