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azure-olympics-data-engineering-and-analytics

banking-mangement-system

data_science_salaries

ds_web_app

A meticulously curated dataset of 65,000 entries was systematically cleaned and organized, forming the basis for the development of precise salary prediction models using regression techniques. These models were seamlessly integrated into an intuitive web application, facilitating well-informed decision-making.

ead_basics

flappy_bird_ai

Building an AI model for a game playthrough using NEAT algorithm.

flowise

Drag & drop UI to build your customized LLM flow

gpt_implementation_and_analysis

Efficiently implemented and optimized the GPT-2 model for testing performance and functionality.

hr_analytics_dashboard

human_activity_recognition_lstm

This project focuses on predicting user activities based on their device interactions, which has various applications in everyday life.

linear_regression

ml_basics

nlp_sentiment_recognition

react-portfolio

3D Web Developer portfolio using React and 3Js

real_time_recognition_attendance

Real-Time Attendance System using Firebase & Face-recognition Library for accurate tracking, utilizing real-time storage and deep learning-based face recognition. Captures attendance, updates last attendance time, and maintains individual attendance count.

sales_insights

Employing SQL and Power BI, the project involved SQL-based data analysis, Power BI integration, interactive dashboard creation, and data-driven revenue growth projection. The combined solution facilitates informed decisions, enhances efficiency, and anticipates revenue increase.

stock-market-real-time-analysis-using-kafka

This project entails building an end-to-end data engineering solution for real-time stock market data using Apache Kafka, incorporating technologies such as Python, AWS, Glue, Athena, and SQL.

text_classification_ltsm

unsupervised_learning

vall-e-x

An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io