The Fake News Detection Project by MachineMinds (MIT Manipal) identifies and classifies fake news using advanced NLP and machine learning techniques. It preprocesses text data, trains models like Logistic Regression and transformers, and ensures real-time news verification. Developed under Intel
This project focuses on detecting faults in induction motors using machine learning and deep learning models. It preprocesses sensor data, trains models like SVM, kNN, and DNN, evaluates performance, and provides predictions with insights into motor health.
Predicting Solar Power Generation: A Machine Learning Approach using Historical Weather Data and Time-Series Analysis for Accurate Renewable Energy Forecasting.
Analysis of Synchronous Motor Excitation Current using Machine Learning techniques, exploring relationships between Load Current, Power Factor, and Excitation Current
This Tableau Steam Game Analysis Dashboard offers insights into popular games, trends, player counts, and reviews. It visualizes data such as top genres, revenue growth, regional preferences, peak concurrent players, and user ratings. This helps identify trends and optimize gaming strategies.
Developed a flight price prediction model using RandomForest, Linear Regression, Decision Tree, and more. Integrated Intel oneAPI with oneDAL's library for faster computation. Evaluated models using R², MAE, MSE, and RMSE. Saved the optimized Bagging Regressor for future use.
DIATOS (Diabetic Retinopathy diagnosis model and multimodal user interface) addresses the critical issue of early detection and diagnosis of Diabetic Retinopathy (DR), a leading cause of blindness globally.
This project introduces Quantum Neural Networks (QNNs) to analyze genomic data for personalized medicine. With the rise of genetic sequencing, QNNs can detect complex patterns in genetic variants to predict disease risks, drug responses, and optimal treatment paths.
This project implements a multi-class image classifier for the Fashion MNIST dataset using a Convolutional Neural Network (CNN) and Streamlit for the web interface. Users can upload images to classify them into one of ten fashion categories.
REPSY - AI Gym Trainer
Problem Statement REPSY addresses several common challenges faced by individuals pursuing fitness goals:
Difficulty in Tracking Progress: Users often struggle to monitor their progress effectively. REPSY integrates with wearable technology and tracks achievements, making it
This project focuses on the analysis and visualization of bird strike incidents reported by the FAA between 2000 and 2011. Bird strikes are a significant risk to aviation safety, and this project aims to uncover critical insights into the frequency, timing, and impact of these events. The analysis i
Sentimatrix is a sentiment analysis and web scraping toolkit that extracts and analyzes sentiments from text, audio, and images. It supports local and API-based models, multi-language analysis, e-commerce review scraping, and visual comparisons. Features include product sentiment summaries, review m
The Lead Gen Tool automates targeted lead generation for B2B sales using AI. It identifies suitable businesses and customer segments based on sales team requirements, increasing business success and sales effectiveness by streamlining the process of finding high-potential prospects.