Deep Convolutional Neural Network for Fire Detection

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

Deep Ensemble Machine for Video Classification

4,000.00
Abstract:         Video classification has been extensively researched in computer vision due to its wide spread use in many important applications

Deep Fake Video Detection Using Transfer learning

5,500.00

Aim:

Ā Ā Ā Ā Ā  To enhance deep fake detection by extracting facial features using FaceNet512 and training these features with transfer learning models. Upon detecting deep fake content, the system will automatically send an email alert with the manipulated image.

Deep Learning Technique to detect Brain tumor disease using YOLOv8

5,500.00
Aim: The aim of this research is to develop a more effective and efficient brain tumor segmentation system using the YOLOv8 architecture.

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: Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā 

Detecting Oil Spills at Marine Environment Using Automatic Identification System (AIS) And Satellite Datasets

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  To design and implement a high-accuracy, real-time oil spill detection system that integrates Automatic Identification System data and satellite imagery using the advanced YOLOv11 deep learning model for environmental monitoring and rapid disaster response

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: Ā Ā Ā Ā Ā Ā Ā Ā Ā  Accidents are

DroneGuard: An Explainable and Efficient Machine Learning Framework for Intrusion Detection in Drone Networks

5,500.00

Aim:

Ā  Ā  Ā  Ā  Ā  Design and deliver a lightweight, interpretable, and efficient intrusion detection framework that detects GPS-spoofing and Denial-of-Service (DoS) attacks in drone networks in (near) real time while producing human-readable explanations for each alarm.

 

E-commerce Products Image Classification using EfficientNetB5 with Transfer Learning

5,500.00
The primary aim of this project is to develop a deep learning model for accurate product image classification in e-commerce platforms using the ResNetV2 architecture.

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

Emoji, Sentiment and Emotion Aided Cyberbullying Detection in Hinglish

5,500.00
Aim: Ā  Ā Ā Ā Ā  Cyber bulling is described as the serious, intentional, and repetitive acts of a person’s cruelty toward others

Enhancing Road Safety: Detection of Animals on Highways During Night

5,500.00

Aim:

Ā  Ā  Ā  Ā  Design and deploy a real-time, low-light-robust animal detection system using YOLOv8 for highways that reliably identifies animals at night and triggers timely driver/road-side alerts to reduce collisions.