ai-powered-video-content-explorer-and-query-resolver

The project is a Retrieval-Augmented Generation (RAG) application that leverages OpenAI’s Whisper to transcribe YouTube videos and answer queries about the content. The tech stack includes Langchain, OpenAI, HuggingFace, Pinecone, and Google GenAI to ensure efficient transcription, question-answering, and data management.

analyzing-banking-trends-customer-transactions-and-regional-impact

In the dynamic world of banking and finance, understanding customer behavior and transaction impacts on regions is vital for decision-making. Our goal is to identify patterns that could influence regional economies and financial systems.

automotive_ner

building-rag-application

Building RAG Application using Python, Llama2, Pinecone, langchain

case-studies

Case studies will be performed using different statistical methods.

co2-emissions-analysis

Creating a detailed analysis of co2 emissions.

cohort-analysis

Cohort analysis is a statistical method used to track and compare the behaviors and performance of distinct groups of users (cohorts) over time, helping businesses gain insights into user retention, engagement, and the impact of changes or strategies over specific time periods.

credit-card-fraud-detection

Using Kaggle Credit Card fraud detection datasets, I will predict credit card fraud detection probability.

data-analysis-projects

data-engineering

Data Engineering Repo

dating-app-reviews

Leveraging a vast dataset comprising over 600k dating app reviews spanning 2017-2022, I conducted a comprehensive analysis to uncover trends in user behavior and app performance.

document-understanding-ocr-using-transformers

Document Understanding & OCR using Transformers

doordash

Doordash - Predictive model for accurately estimating total delivery duration|Linear Regression,LGBM|Personal Project Build a predictive model for DoorDash to accurately estimate the total delivery duration in seconds from order submission to actual delivery, enhancing consumer experience.

generative-adversial-network-tensorflow

Generative Adversial Network using Tensorflow. FIrst, Generative Adversial Network --> Conditional Adversial Network --> Pix2Pix GAN --> cycleGAN --> SRGAN --> Semi Supervised Learning with GAN

helper_functions

One stop solution to most used functions and sum-ups.

image-resolution-improver-using-hf

image-to-csv-file-convertor

Run the following code to convert images from a directory into a csv file with the pixel values as row and column values.

insights-to-the-revenue-team

Insights to the Revenue Team in the Hospitality Domain

kaggle-data-into-google-colab

Easiest way to download kaggle data into google colab

machine-learning-from-scratch

Working on ML algo from Scratch

market-analysis-using-psql

This project focuses on conducting a comprehensive marketing analysis using PostgreSQL. The goal is to derive valuable insights from a dataset of marketing interactions and customer behavior. Below, you'll find an overview of the project, its objectives, and key SQL queries used for analysis.

natural-language-processing

Natural Language Processing and Resources

perc-detectllm

pharma-sales-analysis-and-forecasting

Pharma Sales Analysis and Forecasting using ARIMA, PROPHET and NEURAL NETWORKS

pickl.ai-s-datathon---4

Pickl.AI’s Datathon - 4 Competition

postgresql

Problems solved from various recources

powerbi-projects

principle-component-analysis

projects-on-aws

I will be creating projects on ML and deploy them using AWS.

pytorch-tutorial

PyTorch is a small part of a computer software which is based on Torch library. It is a Deep Learning framework introduced by Facebook. PyTorch is a Machine Learning Library for Python programming language which is used for applications such as Natural Language Processing.