7asim

asimswarup.github.io

HTML CSS AND JS BOOTCAMP

asimswarup07.github.io

HTML CSS AND JS BOOTCAMP

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.