Showing 1–12 of 16 results

A Rotational Libra R-CNN Method for Ship Detection

5,500.00
Aim:      To automate the detection of presence of ships and to classify the types of ships available in the

Accident Prevention and Detection System using IoT Integrated in an Electric Pole

11,500.00
Objective:           The mainstay of the project is to design and develop a system is to prevent accidents occurring due

Brain Tumor Identification and Classification of MRI images using deep learning techniques

5,500.00
Aim: To detect and identify the Brain Tumor using Deep-Learning techniques  Abstract: Brain is the controlling unit of human body.

Characterizing and Countering Communal Micro blogs During Disaster Events

2,000.00
Synopsis:            Social media reach is widespread such that information travels very fast without any geographical border or constrained. People

Convolution neural network based enhanced computerized Technique for brain tumour detection

5,500.00
Aim:            To detect and identify the Brain Tumor using Deep-Learning techniques Synopsis:           Brain is the controlling unit of

Crop Yield Prediction based on Indian Agriculture using Machine Learning

5,500.00
Aim:           To be precise and accurate in predicting crop yield and deliver the end user with proper

Deep Convolutional Neural Network for Fire Detection

5,500.00
Aim:           To efficient RCNN based system for fire detection in videos captured in uncertain surveillance scenarios Synopsis:             Vision

Deep Neural Architecture for Face mask Detection on Simulated Masked Face Dataset against Covid-19 Pandemic

5,500.00
Aim:               To apply the Deep Learning techniques based on convolution neural network improving the face mask detector accuracy. Synopsis:

Driver-Drowsiness Detection System Using Facial Features

5,500.00
Aim:             This paper aim to detect Real time driver’s fatigue state using Convolutional Neural Network (CNN) Synopsis:           Accidents

Efficient Classification Of Diabetic Retinopathy Using Binary Cnn

5,500.00
Aim: To detect the diabetic retinopathy disease in the earlier stage using Deep learning method Synopsis: Diabetic Retinopathy is a

Krushi Sahyog: Plant disease identification and Crop recommendation using Artificial Intelligence

5,500.00
Aim:             To detect the plant leaf disease and to recommend the crop using Machine and Deep learning. Abstract:             

Plant Disease Detection and Classification by Deep Learning: A Review

5,500.00
Aim:            To detect the plant leaf diseases using convolutional neural network for high accuracy detection. Synopsis:           Identification of