7asim
An aspiring cloud computing and AI enthusiast, with a flair for coding and innovation, hailing from India's tech-savvy landscape.
Odisha
Pinned Repositories
7asim
asimswarup.github.io
HTML CSS AND JS BOOTCAMP
asimswarup07.github.io
HTML CSS AND JS BOOTCAMP
Crime-Detection-Using-CNN-LSTM
In this project, we developed a crime detection system using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. We trained our model on the UCF Crime Dataset, which contains videos of various criminal activities captured in different environments.
Emotion-detection
The emotion detection project represents a significant advancement in the field of computer vision and facial emotion analysis. Leveraging state-of-the-art techniques in image processing, Convolutional Neural Networks (CNN), and Haar Cascade classifiers, our project has achieved remarkable accuracy in real-time emotion recognition.
ethical-hacking-intern
Image-Processing
A tool for image comparison using histograms and Normalized Cross-Correlation (NCC). Compares two specific images, revealing their similarity through metrics like histogram intersection, correlation, chi-square, Bhattacharyya distance, and NCC. Useful for various image analysis tasks.
RailSafe-AI-Driven-Railway-Station-Security-and-Management-System
RailSafe: AI & ML-driven railway security and management. Uses existing CCTV for safety & efficiency, transforming railway stations.
Restaurant-Review
In this project, we will develop a sentiment analysis system to analyze and categorize restaurant reviews as either positive, negative, or neutral. This system will help restaurant owners and managers gauge customer sentiment more effectively and make data-driven decisions to improve their services.
Skin-cancer-diagnosis-using-AI
A skin cancer diagnosis system using CNN and LSTM analyzes sequential images of skin lesions. This combines image analysis with temporal data, aiding in early detection and monitoring of skin conditions.
7asim's Repositories
7asim/7asim
7asim/asimswarup.github.io
HTML CSS AND JS BOOTCAMP
7asim/asimswarup07.github.io
HTML CSS AND JS BOOTCAMP
7asim/Crime-Detection-Using-CNN-LSTM
In this project, we developed a crime detection system using Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM) networks. We trained our model on the UCF Crime Dataset, which contains videos of various criminal activities captured in different environments.
7asim/Emotion-detection
The emotion detection project represents a significant advancement in the field of computer vision and facial emotion analysis. Leveraging state-of-the-art techniques in image processing, Convolutional Neural Networks (CNN), and Haar Cascade classifiers, our project has achieved remarkable accuracy in real-time emotion recognition.
7asim/ethical-hacking-intern
7asim/Image-Processing
A tool for image comparison using histograms and Normalized Cross-Correlation (NCC). Compares two specific images, revealing their similarity through metrics like histogram intersection, correlation, chi-square, Bhattacharyya distance, and NCC. Useful for various image analysis tasks.
7asim/RailSafe-AI-Driven-Railway-Station-Security-and-Management-System
RailSafe: AI & ML-driven railway security and management. Uses existing CCTV for safety & efficiency, transforming railway stations.
7asim/Restaurant-Review
In this project, we will develop a sentiment analysis system to analyze and categorize restaurant reviews as either positive, negative, or neutral. This system will help restaurant owners and managers gauge customer sentiment more effectively and make data-driven decisions to improve their services.
7asim/Skin-cancer-diagnosis-using-AI
A skin cancer diagnosis system using CNN and LSTM analyzes sequential images of skin lesions. This combines image analysis with temporal data, aiding in early detection and monitoring of skin conditions.
7asim/IoT-Weather-Monitoring-System
An IoT Weather Monitoring System uses sensors (e.g., DHT22 for temperature/humidity, BMP180 for pressure) connected to a microcontroller (e.g., ESP8266). The microcontroller reads sensor data and transmits it to a cloud platform (e.g., AWS IoT Core) for storage and visualization, enabling real-time environmental monitoring and analysis.
7asim/My-Portfolio