ML + multi-criteria decision framework for EV-battery end-of-life routing under EU, GBA, and India regulatory regimes. Live Streamlit demo with model weights hosted on the Hugging Face Hub.

🌍 Evaluate waste management scenarios using a hybrid MCDM framework that combines Fuzzy AHP, TOPSIS, and PROMETHEE II for informed decision-making.

Topsis, or Technique for Order of Preference by Similarity to Ideal Solution, is a multi-criteria decision-making method used to evaluate and rank potential options based on their distance to the ideal solution. In a Topsis project, the aim is to identify the best alternative by considering multiple criteria and their respective weights.

An AI-powered Decision Support System using Next.js, FastAPI, and GPT-4o to automate the extraction and mathematical ranking (TOPSIS) of medical device manuals.

researching collaborator

N-ary TOPSIS for preference modelling.

A Python application that scores GitHub repositories using TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) analysis.

This repository contains for TOPSIS application on a dataset and the package establishing on PyPI.

A two-stage framework for service placement problem in the cloud continuum that explicitly decouples behavioral specialization from high-level operational intent

RankIt is a customizable ranking system implemented in Python that uses the TOPSIS method to assign scores to a given set of items and rank them based on these scores.

This repository provides code for using Multicriteria Decision Making Techniques in Waste Management Options. Fuzzy AHP, TOPSIS and PROMETHEE II are used.