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Impact of Fuzziness for Skin Lesion Classification with Transformer-Based Model
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Intelligent Ambulance with Automatic Traffic Control
Aim: The aim of this project is smart automatic traffic control system for the ambulance implemented by IOT. Abstract: With a large population enlargement of vehicles there is also a big trouble of car accidents or road accidents, and with these overcrowded roads there is a pro..
Intelligent Braking System
Aim Stopping a car in a hurry on a slippery road can be very challenging. Intelligent braking systems (IBS) take a lot of the challenge out of this sometimes nerve-wracking event. In fact, on slippery surfaces, even professional drivers can'..
Intelligent Crop Recommendation System using Machine Learning
Aim: Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on soil parameters. We also recommend the crop price using machine learning.Abstract India is one of the leading countries world..
Interactive Medical Image Segmentation Using Deep Learning with Image-Specific Fine Tuning
Abstract: DEEP learning with convolution neural networks (CNNs) has achieved state-of-the-art performance for automated medical image segmentation. However, automatic segmentation methods have not demonstrated sufficiently accurate and robust results for clinical use due to the inherent..
IoT based Smart Bin- A Swachh-Bharat Initiative
Aim: The aim of this project is smart and automatic moving and waste disposed dustbin for older people, patients and industries.Abstract: Today main issue of pollution is Garbage Overflow. It creates unhygienic condition for the people and create a bad smell in surroundings leadin..
IoT based Smart Garbage System
Objective The main aim of this project is to implement the best Garbage Management using IOT sensors and mobile technology.Abstract The smart bin containers are equipped with ultrasonic, gas and fire sensors. The level sensor inside the smart..
IoT Based Smart Helmet For Construction Workers
AIM: Safety is a major problem in construction works. This project aims to develop smart wearable devices such as band and helmet using various sensors that will help in monitoring the health and safety of workers.Introduction:  ..
IoT Sensor Initiated Healthcare Data Security
Objective Aim of the project is to develop a secure data transmission system between healthcare devices and end-user application. Abstract Wearable or portable healthcare devices help to monitor the patients from remo..
KiRTi: A Blockchain-based Credit Recommender System for Financial Institutions
Aim The main aim of this project to remove the third party agent between the perspective lenders and perspective borrowers.AbstractIn this paper, we propose KiRTi, a deep-learning based credit-recommender scheme for public blockchain to facilitate smart lending operations between prospective borrowers (..
Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence
Aim: To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract: India is one of the leading countries worldwide in terms of farm output. Even after being a leading ..
Land Mover with Engine Agri Cutter
Aim: The main stay of the project is to design, mechanize and fabrication of a Engine agri cutter for cutting lawn grass and plants. Proposed System: Here we are going to create an Engine agri cutter which is po..
LCDctCNN: Lung Cancer Diagnosis of CT scan Images Using CNN Based Model
Aim: To create a robust and accurate diagnostic tool employing Convolutional Neural Networks (CNNs) for the analysis of CT scan images, aiming to enhance the efficiency, precision, and early detection of lung cancer, ultimately contributing to improved patient outcomes and healthcare practicesAbstract:The most deadly and life-threatening disea..
Leaf Disease Detection Based on Lightweight Deep Residual Network and Attention Mechanism
Aim: To address the significant challenge of identifying plant diseases using deep Residual Network.Synopsis: The proposed work addresses the challenges of identifying plant diseases using a lightweight Deep Residual N..
Less Is More: Lighter and Faster Deep Neural Architecture for Tomato Leaf Disease Classification
Aim: To detect the plant leaf diseases using neural network for high accuracy detectionSynopsis: To ensure global food security and the overall profit of stakeholders, the importance of correctly detecting and classify..