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
DrugForge is an AI-powered platform designed to revolutionize drug discovery by leveraging machine learning models and computational simulations. The platform accelerates the identification of potential drug candidates, predicting key properties and ensuring safety, efficacy, and rapid development.
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.
Voyage Verse: AI-powered travel planning platform crafting personalized journeys. Decodes user preferences, adapts to local happenings, and optimizes routes. Interactive map views, real-time updates, and budget-friendly options. Customizable experiences for diverse interests.
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.
An AI model which can predict pricing for shipment considering quantitative data variables and indicators using real world datasets. The Project framework for building models for logistics along with working model to predict shipping cost for domestic shipping and an interactive interface
This name reflects the project's comprehensive approach to recognizing handwriting using Intel's advanced technologies, such as Intel oneAPI and Intel-optimized TensorFlow. It also hints at the various components and modularity of the project, which together form a powerful toolset for handwriting r
Cooling has always been a difficulty faced in the automobile sector. High elevated temperatures have to be achieved and thus there is a requirement for high grade cooling in automobiles how we are Using Intel OneAPi and Cloud forms the crux and core of the concept
Predictive maintenance for the Manufacturing Industry checking Metal Cutting Tool's Wear for each cycle of machining, using a Computer Vision NN that segments the wear of the tool image to optimize life-time, reducing the downtime automating the process and keeping data on dashboards for ERP system.
The Gemini Clone 1.0 Pro project is a comprehensive web application that replicates the functionality and design of the original Gemini 1.0 Pro interface. This clone project was developed to enhance my skills in front-end web development, particularly with React.js.
" A Deep learning model detects pneumonia in X-ray images with high accuracy, aiding in early diagnosis. Developed using Intel libraries for optimized performance."
This project aims to classify lung cancer types based on histopathological images. The goal is to develop a deep learning model that can accurately predict the type of lung cancer present in a given image.
Using Intel oneAPI toolkits, I crafted a recipe generator model that creates tailored recipes from the ingredients you enter. This AI-powered innovation adds a personalized touch to your cooking experience, inspiring unique dishes based on the items you have at hand.
This project aims to predict food ratings using machine learning models trained on various features extracted from recipes. By leveraging data such as ingredients, cooking methods, and user reviews, our models can provide accurate predictions of the ratings a recipe is likely to receive.