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Ransomware Classification and Detection with Machine Learning Algorithms

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₹5,500.00
Aim:          This study aims to improve the accuracy of Ransomware Classification and Detection with Machine Learning Algorithms Ransomware Classification,
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RanViz Ransomware Visualization and Classification Based on Time-series Categorical Representation of API Calls

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₹5,500.00

Aim

          To develop a real-time ransomware detection system using API call temporal intervals, enabling simulation and classification of ransomware behavior with a live interface.

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RDguru: A Conversational Intelligent Agent for Rare Diseases

₹5,500.00
Aim:               To design an advanced conversational diagnostic system (RDguru++) that improves rare disease
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ReACT_OCRS: An AI-Driven Anonymous Online Reporting System Using Synergized Reasoning and Acting in Language Models

₹5,500.00
Aim:                   The aim of this research is to develop ReACT_OCRS, an AI-powered voice-based cybercrime reporting system that enables anonymous and multilingual audio complaint submissions. It seeks to enhance accessibility, accuracy, and security in cybercrime reporting through speech recognition.
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Real Time Alert System based on Crime Area Mapping

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₹5,500.00
Aim:  The objective of this system is to provide real-time alerts for users based on crime-prone areas, allowing citizens to report complaints and enabling police verification through an integrated mapping and notification system.
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Real-Time Object Recognition with Voice Feedback for Visually Impaired Based on Raspberry Pi

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Aim:

            The Main Objective of the project is to build an assist device for visually impaired people to the techniques involved in condition based deep learning process.

 
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Real-Time Plant Disease Dataset Development and Detection of Plant Disease Using Deep Learning

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₹5,500.00
Aim: The primary aim of this project is to develop an advanced plant disease detection system that leverages state-of-the-art deep learning architectures, such as ResNet152V2 and EfficientNetV2B3, to achieve higher accuracy, scalability, and efficiency.
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Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks
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Real-Time Prediction of Taxi Demand Using Recurrent Neural Networks

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₹5,500.00
Aim: To predict the high demand need of pickup location for taxi services based on their previous history.   Synopsis:
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Real-Time Smart Aquarium Monitoring System Driven by IoT

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Aim:

        To design and implement an IoT-based real-time aquarium monitoring system that continuously observes key water and environmental parameters.

          To ensure healthy aquatic conditions through automated alerts, live video monitoring, and cloud-based data storage.

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Recent Advances in Deep-Learning Based SAR Image Target Detection and Recognition

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₹5,500.00

Aim:

        To develop a lightweight, accurate, and high-performance YOLO-v11n model for detecting and classifying multi-class targets—ships, aircraft, oil spills, oil tanks, and military vehicles—from SAR and aerial images in real-time with low computational complexity.

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Recognition of Fish in Aqua Cage by Machine Learning with Image Enhancement

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₹5,500.00
Aim: The aim of this project is to propose a system to automate the process of fish population monitoring in aquaculture environments by utilizing the YOLOv8 deep learning-based object detection model, combined with image enhancement techniques.
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Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services
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Representing Fine-Grained Co-Occurrences for Behavior-Based Fraud Detection in Online Payment Services

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₹5,000.00
Aim:         The main aim of the project is to identify the Credit card Fraud transaction that has been initiated
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