ai-agent

brest_cancer_classification

crowd-anomaly-detection

crowd-anomoly-with-object-localization

currency_price_forecasting

customer-sales-forecasting

face-mask-detection-using-tensorflow-and-opencv

In most public meetings, such as malls, theaters, and parks, it is becoming increasingly vital to verify if persons in the audience are wearing face masks. The creation of an AI system that can detect if someone is wearing a face mask and allow them admission would be extremely beneficial to society. A basic Face Mask identification system is constructed using Convolutional Neural Networks, a Deep Learning approach (CNN). The TensorFlow framework and the OpenCV library were used to create this CNN Model, which is widely utilized in real-time applications.

fx_analytics

Forex Dashboard is a comprehensive tool designed for Forex traders to monitor and analyze their trading performance metrics.

gold_price_forecasting

jaybfn

Config files for my GitHub profile.

markov_chain_process

Estimation of customer behaviour in a supermarket using a hidden Markov model

mlops

practice_ml

pyspark_data_analysis

recommendation_system

red-eye-detection

semantic_segmentation_project

This project was build for segmenting different body parts of a mosquito for identifying various species and combat vector-borne diseases.

shopify_webscraping

simple-opencv-project

Face detection with Haar cascades is a machine learning strategy that involves a cascade function with a collection of input data. Many pre-trained classifiers for the face, eyes, smile and body , and other facial features are already included in OpenCV. We'll be utilizing some of the haar cascade classifier today to detect face, eye and smile on a webcam.

single-molecule-electrophysiology-data-analysis

Pynanopore serves as a sophisticated toolkit for analyzing single molecules, designed to interpret complex states within nanopore data automatically.

single_molecule_event_classification

text_classification

twitter_sentiment_analysis

Objective of the Project: As shown on several social media platforms, many people have varied opinions (Positive/Negative/Neutral) about covid vaccination. To better comprehend this and reach a coherent conclusion, I performed a sentiment analysis on twitter data gathered from multiple hastags.