Showing all 9 results

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 Ā Abstract: Brain is the controlling unit of human body.

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: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Brain is the controlling unit of human

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: Ā Ā Ā Ā Ā Ā Ā Ā  Diabetic Retinopathy is

Intelligent Crop Recommendation System using Machine Learning

5,500.00
Aim: Ā Ā Ā Ā Ā  Predict the crop yield and deliver the end user with proper recommendations about required fertilizer ratio based on

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

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

Machine Learning Based Heart Disease Prediction System

5,500.00
Aim: Ā  Ā  Ā  To apply machine learning techniques result in improving the accuracy in the prediction of cardiovascular disease.

Plant Disease Detection and Classification by Deep Learning: A Review

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

Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

5,500.00
Aim: To predict the high demand need of pickup location for taxi services based on their previous history. Ā  Synopsis:

Twitter Spam Detection Using Natural Language Processing by Encoder Decoder Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  To enhance the assigning accuracy of former methods in spam detection in Twitter using advanced methods. Synopsis: Ā Ā Ā Ā Ā Ā Ā Ā Ā