0sparsh2

Ads-with-AI

A mega project that includes multiple features to enhance Ads and their Click-Through Rate. The llama-2 model will be fine-tuned for generating query captions. Stable Diffusion to generate Ad Creatives. Datasets like the Meta Ads dataset will help the product determine its target audience.

Flipkart-Amazon-aggregator

The following code extracts the prices and names of product using selenium and beatiful soup, provides you with the with the camparison of the two products. You can enter your phone number and be redirected to your whatsapp where you will recieve information about the product with prices and respective amazon and flipkart links.

Indigo-Twitter-Analysis

Extracting live tweets through Tweepy library, analysing IndiGo airlines tagged tweets, Entity Recognition

Live-stocks-scraping

The above code pulls the live Nifty50 stocks statistics using web scraping

Music-genre-classifier

Implementing different machine learning models on input music data and finding the most efficient method.

PDF-Query-LLM-with-VectorDB

This is a Python notebook that would guide you to build a Langchain LLM based model that intakes a pdf file, converts text into text chunks, which get converted to Text Embeddings and get saved to the VectorDB. VectorDB wold the using similarity search on vectors for quick response of the question answering.

Sketch-to-Face-using-Multi-GANs

A sketch to face image translation model which uses Contextual GANs, GFPGANs and DeOldify to generate results.

Sparks-Tasks-ComputerVision

Website-Q-A-using-RAG

Leveraging the power of the RAG model, the pipeline processes the extracted web data to generate informative responses, summaries, or answers to user queries.

Zero-shot-subject-classification

The above model uses transformers library with zero-shot-classification pipeline.

0sparsh2/Music-genre-classifier

Implementing different machine learning models on input music data and finding the most efficient method.

0sparsh2/Ads-with-AI

A mega project that includes multiple features to enhance Ads and their Click-Through Rate. The llama-2 model will be fine-tuned for generating query captions. Stable Diffusion to generate Ad Creatives. Datasets like the Meta Ads dataset will help the product determine its target audience.

0sparsh2/Indigo-Twitter-Analysis

Extracting live tweets through Tweepy library, analysing IndiGo airlines tagged tweets, Entity Recognition

0sparsh2/Live-stocks-scraping

The above code pulls the live Nifty50 stocks statistics using web scraping

0sparsh2/PDF-Query-LLM-with-VectorDB

This is a Python notebook that would guide you to build a Langchain LLM based model that intakes a pdf file, converts text into text chunks, which get converted to Text Embeddings and get saved to the VectorDB. VectorDB wold the using similarity search on vectors for quick response of the question answering.

0sparsh2/Sketch-to-Face-using-Multi-GANs

A sketch to face image translation model which uses Contextual GANs, GFPGANs and DeOldify to generate results.

0sparsh2/Sparks-Tasks-ComputerVision

0sparsh2/Sparks-Tasks-DataScience

Sparks Foundation internship tasks

0sparsh2/Train-Rush-Predictor

The model takes data of train as input, cleans the data and get's output if the rush will be high, low or medium

0sparsh2/Zero-shot-subject-classification

The above model uses transformers library with zero-shot-classification pipeline.

0sparsh2/gpt3-whatsapp-bot

Using powerful services like OpenAI, Twilio, and Azure, I was able to create a system that scours the internet for topic-specific articles, summarizes them, and sends them straight to my WhatsApp.

0sparsh2/prefix-handling-using-transformers

0sparsh2/Website-Q-A-using-RAG

Leveraging the power of the RAG model, the pipeline processes the extracted web data to generate informative responses, summaries, or answers to user queries.

0sparsh2/0sparsh2

0sparsh2/auto-sklearn

Automated Machine Learning with scikit-learn

0sparsh2/Basic-Langchain-QnA

Using LLM, OpenAI Keys and StreamLit, you can have a simple model for your Question Answering ChatBot

0sparsh2/cats-vs-dogs-coursera-assignment

A coursera assignment to classify between images of dogs and cats using CNN in tensorflow with keras library.

0sparsh2/Cover-Letter-Generator-using-Llama-2

Using Llama-2-7B quantized version (llama-2-7b ggml), I built a Streamlit code which can input commands about the job description and then revert with a suitable cover letter

0sparsh2/DATA-512-PART-4

Comprehensive analysis of air quality and health data in a U.S. city, highlighting trends, policy impacts, and human-centered insights.

0sparsh2/Horses-vs-Humans-Transfer-Learning-CNN-Coursera-assignment

A CNN based coursera assignement using tensorflow where Horse and Human classification takes places using the means of transfer learning. The accuracy is measured upto 99.99% in the model. The user has to upload the image to view result.

0sparsh2/igel

a delightful machine learning tool that allows you to train, test, and use models without writing code

0sparsh2/KYSee-Online-KYC

KYC using ML and CV

0sparsh2/Maths-write-and-play

A maths addition game where you'll get random numbers as input. You have to write their sum on the box and try to get it right. The code uses Tensorflow model of mnist dataset for handwriting recognition and flask to interact with html js for the values changing realtime.

0sparsh2/naive-bayes-titanic-dataset

0sparsh2/NLP-MU-BE-Assignments

0sparsh2/portfolio

0sparsh2/sagar-viradiya

About me

0sparsh2/similarity-function

0sparsh2/streambook

A website to create a 'watchlist' of your favourite shows and movies

0sparsh2/UW-IMT-589D-Building-and-Applying-Large-Language-Models

Repository for assignment solutions for the University of Washington's course IMT 589D - Building and Applying Large Language Models by Professor Chirag Shah