Big Data Analyzing Techniques in Mathematical House Price Prediction Model

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To design and develop machine learning algorithm to predict house price

Efficient Machine Learning Approach For Crime Detection In India

5,500.00
The goal of this project is to create a reliable model for predicting droughts in regions that are vulnerable to them. Using Indian rainfall data, the project applies ARIMA and SARIMAX models to forecast droughts. The project aims to support better planning and response strategies, helping communities prepare for and mitigate the effects of droughts.

Efficient Machine Learning Approach for Crime Detection in India

5,500.00

Aim:

Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  To develop an efficient machine learning-based system for detecting and predicting criminal activities in India by analyzing historical crime data, with the goal of supporting law enforcement agencies in proactive decision-making and resource allocation.

Efficient Machine Learning Models for Solar Radiation Prediction Using Ensemble Techniques: A Case Study in Low-Rainfall Arid Climates

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop an efficient machine learning-based system for detecting and predicting criminal activities in India by analyzing historical crime data, with the goal of supporting law enforcement agencies in proactive decision-making and resource allocation.

 

Evasion Attacks and Defense Mechanisms for Machine Learning-Based Web Phishing Classifiers

5,500.00
The aim of this research is to develop an advanced phishing detection system that leverages a hybrid machine learning approach to analyse URLs effectively and accurately identify potential phishing attempts.

Incorporating Meteorological Data and Pesticide Information to Forecast Crop Yields Using Machine Learning

5,500.00
To develop a robust and accurate crop yield prediction system by integrating meteorological data, pesticide usage records, and crop yield statistics, leveraging advanced machine learning techniques to promote sustainable agricultural practices and enhance global food security.