Smart Shopping Assistant is a Python-based web application that analyzes structured product data and provides decision-support recommendations through a modular and scalable architecture built with Flask

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

A Streamlit + ML app that predicts if a property is a good investment and forecasts its price after 5 years. Trained on real estate features using classification & regression models for smart investment decisions.

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**.