Sai Manoj Yarlagadda's repositories
Diabetes-Prediction-ML
A Diabetes prediction Machine learning model using diagnostic data and algorithms such as logistic regression and decision trees. Evaluate their performance and deploy the top-performing model for accurate diabetes prediction.
Basic-Calculator-Desktop-Application-using-GUI
This project is a basic calculator desktop application that allows users to perform simple arithmetic calculations using a graphical user interface (GUI). The application was developed using Python and the tkinter library for the GUI.
Boston-House-Price-ML-Predictor
Harness the potential of data-driven real estate insights. This repository features a machine learning model trained on the Boston Housing dataset, offering accurate estimations of house prices based on key factors. Empower your real estate decisions with data-backed predictions.
Dataset-Driven-Mental-Fitness-Tracker-AI
"An AI-powered Regression-based Mental Fitness Tracker that leverages advanced algorithms to monitor and support mental well-being, providing personalized insights and recommendations for stress management and self-care."
Python-BMI-App
Python-BMI-App is a simple but powerful Body Mass Index (BMI) calculator built using Python and Streamlit. BMI is a commonly used measure of body fat based on height and weight. The app takes user inputs of height and weight, calculates the BMI, and displays the result along with a color-coded interpretation of the BMI range.
Bus_BookingSystem_Project
This is a Bus-Booking System Project implemented in C++ language. The system is designed to allow users to search for bus routes and book seats on those routes.
Contact-Management-System-Project-in-C
In this project, you can do the operations like add a new contact of a person with their name, phone number, address and email. Listing all the contacts which are stored in the contact file. You can also edit any contact’s name, mobile number, address and also delete any account you want.
Fashion-MNIST-Dataset-Using-TensorFlow
Classifying the images of clothing like shirt, pants and sneakers. Dataset contains 60000 Training Images and 10000 test Images, 10 Classes, Image Size = 28 x 28 pixels, Label Ids = 0 to 9, Pixel value = 0 to 255.
Global-Terrorism-Trends_Analysis
Dive into global terrorism's web with 'Global_Terrorism_Trends_Analysis.' Leveraging the GTD, our project delves into trends, tactics, and impacts worldwide. Uncover valuable insights to understand this complex issue.
Guess-the-number-Game-using-Python
This is a simple game where the user has to guess a random number generated by the computer. The user is given a limited number of attempts to guess the number correctly.
Iris-Flower-Classifier
The "Iris-Flower-Classifier" is a machine learning project that categorizes Iris flowers into three species based on their measurements. It involves data preprocessing, model training, and evaluation, showcasing a fundamental classification task.
Login-and-Sign-Up-Pages
"Login-and-SignUp-Pages" is a repository featuring HTML and CSS files designed to create visually appealing and fully functional login and signup pages.
Object-Classification-CNN
Object Classification CNN (Convolutional Neural Network) is a machine learning technique that uses a deep learning algorithm to classify images of various objects. The goal of Object Classification CNN is to train a neural network to recognize and distinguish between different objects in an image.
Personal-Alexa-using-Python
"Personal Alexa using Python" is a project that aims to create a voice-activated personal assistant similar to Amazon's Alexa using the Python . The project will involve using libraries such as speech recognition, text-to-speech, and NLP to build a functional and intuitive personal assistant that can assist the user with daily duties.
Sample_Portfolio.io
SaiManoj's Portfolio Website
Stress-Detection-ML
Explore the world of machine learning-based stress detection in social media posts. This project leverages Python to classify text as 'Stress' or 'No Stress,' offering valuable insights into mental health analysis.
WineQualityPredictor-ML
WineQualityPredictorML is a comprehensive machine learning toolkit for predicting and assessing wine quality. Explore advanced regression models, SVM, and decision trees for insightful wine quality analysis.
Data-Insights-From-Aadhaar-A-Comprehensive-Analysis-Using-Qlik
The project “Data Insights From Aadhaar A Comprehensive Analysis Using Qlik” aims to analyze data insights from Aadhaar, India’s unique identification system.
Spotify-Analytics-SQL
A SQL-based project to analyze Spotify data, including tracks, artists, playlists, and user interactions. Provides insights into music trends, user behavior, and popular songs using SQL queries.