House Price Prediction Using Machine Learning And Neural Networks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Housing prices keep changing day in and day out and sometimes are hyped rather than being based on

Human Activity Recognition Through Ensemble Learning of Multiple Convolutional Neural Networks

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā  This paper aim to classify the different types of videos using deep learning framework with convolution neural network

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.

Integrating Sentiment Analysis with Machine Learning for Cyberbullying Detection on Social Media

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To improve the accuracy and efficiency of cyberbullying detection in social media text by utilizing an advanced machine learning model (DistilBERT) that overcomes ambiguity and classification challenges.

 

Integration of Traditional Knowledge and Modern Science: A Holistic Approach to Identify Medicinal Leaves for Curing Diseases

5,500.00
Aim: The aim of this project is to develop and implement a holistic methodology for identifying and evaluating medicinal leaves with the potential to treat various diseases.

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 

Leveraging Machine Learning Techniques of Real Time Detection of UPI Fraud

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To develop a robust and scalable fraud detection framework for Unified Payments Interface (UPI) transactions using advanced ensemble and boosting algorithms such as Random Forest, Extra Trees, Cat Boost, and Light GBM.

Low-Cost CNN for Automatic Violence Recognition on Embedded System

9,000.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā  The main aim of the project is to auto detect any violence action in public place and send

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.

Machine Learning in Money Laundering Detection Over Blockchain Technology

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā To develop a robust machine learning system for detecting money laundering activities in blockchain transactions using Random Forest, Decision Tree, LightGBM, and CatBoost models.

Machine Learning Techniques for Sentiment Analysis of COVID-19-Related Twitter Data using GPT

5,500.00
Aim: Ā Ā Ā Ā Ā Ā Ā Ā Ā  The aim of this research is to improve the accuracy and contextual understanding of sentiment analysis in COVID-19-related