Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework
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Updated
Jul 16, 2025 - Python
Reproducible and automated processing and analysis of (synchrotron) radiometry data based on the ASpecD framework
Intelligent classification system for internet entities (domains, companies, services) using rule-based labeling, machine learning and LLM verification
This project is a Natural Language Processing (NLP) initiative that performs sentiment analysis on IMDB movie reviews.
Autonomous Vehicle Project – From messy data to self-driving intelligence! We cleaned and visualized data, built robust AI models, and designed a vision for safe, smart, and autonomous mobility.
ResearchAI - A Python toolkit for AI/NLP research with modular data processing, vector storage, and retrieval utilities to accelerate experimentation
This Project aims to implement a **Hadoop MapReduce job in Pseudo-Distributed Mode** to determine the **feistiest Pokémon** based on their **type**. The job processes the Pokémon dataset (`pokemon.csv`) and outputs a CSV file containing Pokémon **type1, type2, name, and feistiness score**.
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