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
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.
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This project provides a foundational structure for an ATM controller in Verilog, allowing for the simulation of ATM transactions and managing associated outputs and states.
This project utilizes the OpenVINO (Open Visual Inference and Neural Network Optimization) toolkit and Yolov8 object detection model to implement social distancing enforcement using computer vision and deep learning techniques.
Computing division is more difficult than any other arithmetic operations like addition,
subtraction, and multiplication. To expedite division and lower the number of clock cycles needed to complete the operation, fast division algorithms are necessary.
Rapid technological advancements have transformed how we handle services like electricity payments. Traditional methods involving physical visits or automated transactions can be inconvenient and cause delays. This study proposes creating a convenient Anytime electricity bill payment controller.
Finite State Machine (FSM) designed to handle the movements of a Land Rover based on binary inputs. The FSM utilizes D flip-flops and combinatorial logic to transition between states and produce appropriate output signals for controlling the Land Rover's movement.
Analyzing Indian road accidents using GIS and Ministry of Road Transport data (up to 2021). Identifies hotspots, patterns, and high-risk areas for informed road safety strategies by policymakers, law enforcement, and urban planners to reduce accidents and enhance safety.
The Fashion-MNIST dataset is used as a standard for assessing how well
image classification models perform. Classifying fashion items presents a difficult task that
is applicable to real-world applications. I have tried to add to the body of knowledge in
the field of computer vision by creating
This repository contains a Python-based solution for Fake News Detection using Machine Learning. This project was done by Team Infinity of Saintgits College of Engineering, consisting of Jumana Jouhar, Neharin Tijo, and Meenakshi Mony, as part of the Intel Unnati Industrial Training Programme.