Shubham Kumbhar's Projects
Artificial Neural Networks
A curated list of modern Generative Artificial Intelligence projects and services
Customer churn prediction is the process of using machine learning models to identify customers who are likely to leave in the near future.
It is an open-source library that can be used to perform tasks like face detection, objection tracking, landmark detection, and much more
The BrainyBowl web app is built using React JS. It allows the user to select the criteria for their quiz from a list of options. The user can then proceed to answer the questions in the quiz and their performance will be tracked and shown in the scoreboard.
This project employs an Artificial Neural Network (ANN) to predict breast cancer based on numerical features. With an accuracy of 96 % without overfitting our approach demonstrates the potential of AI in early detection
Welcome to our Object Detection project, where we leverage the power of Next.js and TensorFlow's Machine Learning capabilities to identify objects within images. This project utilizes MobileNet-V2, a lightweight deep learning model, trained on the extensive COCO dataset, ensuring accurate and efficient object detection.
A GenAI Based CSV File and using OpemAI API and Langchain we get an answer about question that we asked related to that csv file
AWS EC2, AWS ECS,AWS Kubernetes,AWS EBS,Saleforce Apex
An NLP based APP includes features for spam detection, sentiment analysis, stress detection, hate and offensive content detection, and sarcasm detection. It leverages Natural Language Processing (NLP) techniques and machine learning models to analyze and classify text inputs. Table of Contents
This repository contains the implementation of a Convolutional Neural Network (CNN), a powerful deep learning architecture commonly used for image-related tasks.
The prospect of utilizing neural networks (convolutional neural networks) for cryptography is relatively new. This project explores how neural networks can be used and tuned for cryptographic operations, including encryption, decryption, signing, and verification
Customer segmentation using machine learning technique to divide a customer into distinct groups based on similarities between customers. This helps businesses tailor their marketing strategies to specific customer segments.
A primer on essential data visualization techniques using Seaborn and Dive into the interactive world of Plotly Express for dynamic and engaging visualizations.
Explore a collection of deep learning projects showcasing the power of neural networks in various applications. From predicting churn in customer data to image classification using the MNIST dataset, each project demonstrates the versatility and effectiveness of deep learning models.
Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.
An Hackthon Winning Smart AI Based Solution to Farmers for predicting plant leaf diseases using deep learning and large language model
A Diabetes Prediction web app using machine learning is an application that utilizes a trained machine learning model to predict whether a person has diabetes based on input features such as glucose levels, blood pressure, BMI, age, etc.
Predict the price of diamonds with machine learning! This project leverages data-driven insights to develop a model capable of accurately estimating the price of diamonds based on various features.
Welcome to the Credit Card Fraud Detection project repository. This project leverages machine learning techniques to identify fraudulent credit card transactions in a dataset