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This project aims to forecast weekly sales for retail stores using historical sales and economic data. By applying advanced time series forecasting models, we enable better inventory management, demand planning, and revenue optimization for retail chains. The project includes both traditional statistical models and deep learning techniques.

Heart Disease Prediction using machine and deep learning techniques works on heart dataset

This a multiple disease prediction based on user input which can predict upto 40 disease and trained on 131 parameters

Object Detection with YOLOv3

This GitHub repository contains an example demonstrating the application of fundamental image processing filters (Mean, Median, Gaussian) using Python and OpenCV, along with the addition of Salt and Pepper Noise.

The newest way to use Python!

In this Project we aim to dive into a Present Societal Pandemic issue which we are facing around us past 2 years due to outbreak of Novel Corona Virus.  Getting tested for covid-19 virus is not an easy deal with costly RT-PCR test, and delayed results, and with its no. of variants with different mutations emerging everyday all the new methods found to detect the virus and its variant have either become : - Ineffective as all tests may not find each of the variants. - Each of them a set a finical restrictions for the technology used. - Each test has its own detection time .  Chest X-Ray already exists and overcomes most of the above drawbacks, but still fail to give long term effects or severity.  So as a Solution We Aim to develop a model to give large no. of classifications and comparisons of Covid Patients and whether it leads to pneumonia disease , also these models could be trained to classify long term effects after years of infection how things could change w.r.t chest infections, and lead to other chronic disease.

Developed a constraint satisfaction problem model for deciding what projects can be taken on and what companies need to be contracted to deliver on these projects.

this is combination of 3 different disease prediction system check readme for details

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Intelli-Helmet is a stress monitoring system using the brain wave data form EEG headset and physiological data (Heart Rate) from wearable device.

Python_Basics

Pychram was used to create the AI voice assistant Mike. It is able to carry out fundamental client-designed tasks and comprehend human speech. The Mike is activated and starts carrying out user orders when the user specifies the right trigger words.

Geocoding-Python Code-Enter the Street address to get the latitude and longitude

Value Inc is a retail store that sells household items all over the world by bulk. The Sales Manager has no sales reporting but he has a brief idea of current sales. He also has no idea of the monthly cost, profit and top selling products. He wants a dashboard on this and says the data is currently stored in an excel sheet.

It was the machine learning project of Speech Emotion Analyzer to find the emotion by extracting the features of the voices.

Working_with_data_found_in_the_netCDF_format

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A simple GUI-based 2-Player Pong game created using Pygame in Python 3.

Indoor PM2.5 source detection algorithm using unsupervised clustering ML method (k-means clustering)

Customer Churn Analysis - Telecom Retention

Using Python and Tableau, I created a report of borrowers who may have issues paying back the loan to Blue Bank.

this repository is part of multiple disease prediction system repository

This is my personal repository!

Deep Learning Inputs & Internal Mtls Unit 14 for HW #11

Python Projects

HII I am Pranjal Kalekar!! This repo contains a completed task provided by The Sparks Foundation to me under Graduate Rotational Internship Program This is 1st task under Data Science & Business Analytics Tasks.

This is an implementation of boundary fill algorithm using Python. It can generate any polygon or circle of custom user given specifications and will colour the figure starting from a user provided point with a user defined colour.