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gradio

AI-Powered Compliance Assistant with Transformers and Gradio

https://ayinedjimi-consultants.fr

A production-grade machine learning system for classifying celestial objects — stars, galaxies, and quasars — from 500,000 photometric observations sourced from the Sloan Digital Sky Survey (SDSS DR18). The pipeline covers LOF-based outlier detection, SMOTEENN class balancing, and SelectKBest feature selection, with six classifier configurations benchmarked against each other. Random Forest achieved the highest accuracy at ~99.51%, while LightGBM was selected for deployment due to its faster inference, smaller footprint, and clean ONNX export path. The system is fully containerized with Docker, backed by a CI/CD pipeline, and served live via a Gradio interface on Hugging Face Spaces.

Natural Language Understanding for math symbols, digits, and words with a Gradio user interface and REST API.

just a simple web interface for chat with local LLM

This project is an intuitive web application for image processing, built with Gradio.

It integrates a variety of image processing techniques I've learned, including vignetting, edge detection, image resizing, and noise generation. The goal is to provide a simple, no-code interface for anyone to apply these common image manipulations.

You can try the live demo here: Huggingface :https://huggingface.co/spaces/Lifth/Image_processing_function

Este projeto é uma aplicação que utiliza a API Gemini para gerar recomendações de livros com base nos gostos da usuária. A ideia é permitir que usuárias forneçam informações sobre seus interesses literários para que a IA recomende livros que se encaixem nesses perfis.

This project aims to simplify and automate the reimbursement process for (pre-sales or any professionals who travels fairly frequently). By leveraging OCR (Optical Character Recognition) technology, the system extracts key information such as prices and expense types from receipts and bills. The extracted data is then saved to a drive, making it easier for sales teams to submit and track their expenses. The goal is to reduce manual effort, minimize errors, and streamline the reimbursement workflow.

Simple raw gradio project to visualize user data from csv files