Development of Property prediction model for hot strip mill using machine learning algorithms.

The objective of this work was to produce the machine learning models to capture and understand the relationship between the variables and mechanical properties of the hot-rolled steels.

Optimization of Supply Chain Mangement using Machine Learning Algorithms

Optimize Supply Chain Efficiency: Harness the power of machine learning to predict demand, streamline inventory management, and enhance logistics, driving cost savings and improved customer satisfaction in the supply chain.

Why do some Space Missions Fail?

"Failure Prediction and Risk Mitigation: Utilize advanced AI models to predict potential failure points in space missions, enabling proactive risk management strategies and ensuring mission success."

Guesthouse Booking Prediction Using Machine Learning Algorithms

Guesthouse Booking Prediction: Leveraged machine learning algorithms to develop an intelligent booking prediction system, optimizing guesthouse resource allocation and enhancing accommodation planning efficiency for facilities.

Movie Recommendation Project

The Movie Recommendation System using machine learning is an intelligent platform that suggests movies to users based on their viewing history, preferences, and behavior patterns. By analyzing a vast dataset of movies and user interactions, machine learning algorithms identify hidden patterns and si

Sentiment analysis Project

Sentiment Analysis using machine learning is a technology that automates the process of understanding and categorizing opinions and emotions expressed in text data.

Customer lifetime valuation Prediction project

Customer Lifetime Value (CLV) Prediction using machine learning is a sophisticated approach that leverages algorithms to estimate the potential revenue a business can generate from a customer throughout their entire relationship.

Potential Probability of sales Project

Predicting the Potential Probability of Sales using machine learning involves using data-driven algorithms to assess the likelihood of a successful sale or conversion for a product or service.

Healthcare:Sepsis-Septic Prediction using Machine Learning

Sepsis-Septic Prediction using Machine Learning involves utilizing advanced algorithms to forecast the onset or progression of sepsis, a life-threatening condition triggered by the body's extreme response to an infection.

Ecommerce Analytics Project

Ecommerce Analytics using machine learning refers to the application of machine learning techniques and algorithms to analyze vast amounts of data generated by ecommerce platforms.

PREDICTING THE TEN YEAR RISK OF DEVELOPING HEART DISEASE USING MACHINE LEARNING

This project's significance lies in its potential to contribute to early CHD risk assessment, which can enable targeted interventions and lifestyle modifications for at-risk individuals.

Insightful analysis of telecom churn data using the powerful PyCaret library.

Just wrapped up an insightful analysis of telecom churn data using the powerful PyCaret library.

Component Failure Analysis

In the Component Failure Prediction Project using machine learning, we applied machine learning algorithms to predict potential failures or malfunctions of various components in a system or machinery.

HR Analytics Project

HR analytics using machine learning is the application of data science and artificial intelligence to human resources processes and data. It involves leveraging machine learning algorithms to gain insights, make data-driven decisions, and improve various HR functions.

Tomato_leaf_disease_detection

This notebook aims to be a comprehensive guide that addresses this challenge. By embarking on a journey that investigates different model architectures, regularization methods, learning rate adjustments, early stopping mechanisms, and data augmentation techniques.

Traffic Sign Image Classification

Welcome to our traffic sign recognition project! The initial charts give us a glimpse into our model's journey. As we move through the graphs, we can see the model improving – making fewer mistakes and getting more signs right. This is an indication of a promising system that can identify traffic si

Chest X-Ray (Pneumonia): Image Classification

Pneumonia, a potentially life-threatening pulmonary condition, has been a persistent challenge in the medical field, often demanding rapid and precise diagnosis for effective treatment. In this endeavor, we turn to the power of modern technology. Utilizing chest X-ray images, a common diagnostic too

Brain_tumor_detection_cnn

The project at hand delves deep into this fascinating world of CNNs. Starting with the rudimentary layers of designing a basic CNN model, the journey evolves to explore the more advanced nuances of transfer learning, particularly employing the EfficientNetB0 model.

Car sales classification using Deep Neural Network

Application of neural network technology for the classification of car sales data. This involves using machine learning techniques to analyze and categorize car sales information, such as vehicle types, brands, prices.

Object detection in images by using YOLOv8.

Purpose: to object detection in images by using YOLOv8. Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos.

Potability Prediction_using Multi_parameter Analysis

The goal of the project is to assess the quality of water based on the aforementioned parameters and predict its potability, indicated by the 'Potability' column in our dataset, where '1' represents potable (safe for drinking) and '0' represents not potable.

Credit card approval Prediction

In this project, we will build an automatic credit card approval predictor using machine learning techniques, just like the real banks do.

Pizza_Sales_Analysis

In this end-to-end project, I used a Microsoft SQL server as the tool for my SQL queries and MS Word for recording all the queries & their results. This was the first time I have used these in a project and have learned so many new things as well.

Computer Vision Project - Track, Count Vehicles and Speed Estimation using Ultralytics YOLOv8

1.Vehicle Tracking and Counting with YOLOv8: Uses YOLOv8 & ByteTrack for tracking/counting vehicles in videos, aiding in traffic & parking management. 2.Speed Estimation with Ultralytics YOLOv8: Employs YOLOv8 for vehicle speed estimation from videos, useful for traffic analysis & safety monitoring

Automatic Number Plate Detection

Developed two machine learning projects utilizing YOLOv8: one for tracking and counting vehicles, and the other for estimating vehicle speeds from video data. These projects are instrumental in traffic analysis, parking management, and safety monitoring.

Calories Count UsingLIM

Our project is a web application that combines Gemini Pro Vision, Streamlit, and Google's Generative AI to estimate the calorie content of food from images. It analyzes dishes in common image formats (JPG, PNG, JPEG) efficiently and is designed for user-friendly interaction.