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Project uses machine learning to predict energy load in Spanish cities based on weather data, aiming to optimize grid management and renewable energy integration. It tackles challenges in data cleaning, model selection, and feature engineering, demonstrating ML's superiority in handling complex relationships and improving forecasting accuracy
GOALIE (Game-Observations-Analysis-via-Linguistic-Information-Extraction) is a Chrome extension that delivers real-time football commentary insights using AI. It classifies live commentary with NLP and generates tactical snippets via a Flask + Gradio backend.
This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a primary emphasis on understanding and predicting customer satisfaction and churn risk.
Config files for my GitHub profile.
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Config files for my GitHub profile.
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Real-time Network Threat Detection using Agentic AI
Coursework and Assignments Repository
a repo for exploring and learning kafka
A repo that includes files for exploring crews in crewAI
SPARK is a extensible energy analytics platform designed for processing large-scale renewable energy datasets using the Hadoop MapReduce framework. It offers data analytics, machine learning-based forecasting, and energy trend insights in a fully modular setup utilising Hadoop, MapReduce, Apache Spark complementing the Streamlit UI.
GOALIE (Game-Observations-Analysis-via-Linguistic-Information-Extraction) is a Chrome extension that delivers real-time football commentary insights using AI. It classifies live commentary with NLP and generates tactical snippets via a Flask + Gradio backend.
No description provided.
Project uses machine learning to predict energy load in Spanish cities based on weather data, aiming to optimize grid management and renewable energy integration. It tackles challenges in data cleaning, model selection, and feature engineering, demonstrating ML's superiority in handling complex relationships and improving forecasting accuracy
Railway Safety with custom built dataset. Published paper in IEEE conference 2024
Appliance-level energy management system that enables users to monitor and analyze energy consumption for individual appliances in real time. By providing detailed insights, interactive dashboards, and predictive analytics, it helps optimize power usage, reduce energy costs, and enhance sustainability. 🚀⚡
A fraud detection system integrating AI and blockchain for supply chain security. Combines machine learning algorithms with immutable ledger technology to detect fraud and ensure transaction authenticity. Deployed via Hugging Face API for seamless business integration.
No description provided.
This project focuses on predicting passenger satisfaction and loyalty within the airline industry using data mining techniques. The analysis is conducted using the Orange Data Mining tool, with a primary emphasis on understanding and predicting customer satisfaction and churn risk.