Pinned Repositories
AutoSuisseMarketBackend
This repository contains the backend for AutoSuisseMarket, built with Django REST framework to deliver a RESTful API for platform management.
AutoSuisseMarketFrontend
This frontend focuses on providing a user interface for the AutoSuisseMarket platform, built using Vite and React.
BrainTumorPredictor
The focus of this project is on Brain Tumor MRI Classification using Convolutional Neural Network (CNN).
ClassicalTextRetrieval
Classical text retrieval focuses on basic methods like Boolean models and brute-force searches to find relevant information. While modern techniques have advanced, these foundational approaches still play a key role in information retrieval today.
CreateMyDraft
This project uses ChatGPT-4, LangChain, and Streamlit to simplify drafting clinical trial documents like LayCTDs and ICFs. By leveraging these tools, it makes the creation process faster and easier.
HeartDiseaseRiskPrediction
The goal of the project is to develop and assess machine learning models for predicting heart disease risk. We employed Logistic Regression, Random Forest, and XGBoost to build and evaluate these models using a Kaggle dataset.
ImageBinarization
java
lxdui
LXDUI is a web UI for the native Linux container technology LXD/LXC
RealTimeCommunication
This repo shows real-time communication using Django, WebSocket, SQLite, and a React + Vite frontend. It’s a simple demo of WebSockets in Django.
agniramadani's Repositories
agniramadani/ImageBinarization
agniramadani/AutoSuisseMarketBackend
This repository contains the backend for AutoSuisseMarket, built with Django REST framework to deliver a RESTful API for platform management.
agniramadani/AutoSuisseMarketFrontend
This frontend focuses on providing a user interface for the AutoSuisseMarket platform, built using Vite and React.
agniramadani/BrainTumorPredictor
The focus of this project is on Brain Tumor MRI Classification using Convolutional Neural Network (CNN).
agniramadani/ClassicalTextRetrieval
Classical text retrieval focuses on basic methods like Boolean models and brute-force searches to find relevant information. While modern techniques have advanced, these foundational approaches still play a key role in information retrieval today.
agniramadani/CreateMyDraft
This project uses ChatGPT-4, LangChain, and Streamlit to simplify drafting clinical trial documents like LayCTDs and ICFs. By leveraging these tools, it makes the creation process faster and easier.
agniramadani/HeartDiseaseRiskPrediction
The goal of the project is to develop and assess machine learning models for predicting heart disease risk. We employed Logistic Regression, Random Forest, and XGBoost to build and evaluate these models using a Kaggle dataset.
agniramadani/java
agniramadani/lxdui
LXDUI is a web UI for the native Linux container technology LXD/LXC
agniramadani/RealTimeCommunication
This repo shows real-time communication using Django, WebSocket, SQLite, and a React + Vite frontend. It’s a simple demo of WebSockets in Django.
agniramadani/springboot-rest-api
agniramadani/TimeTrackerBackend
agniramadani/TimeTrackerFrontend
agniramadani/DataAutomation
A data automation project for a Basel-based pharma company, built with FastAPI and React-Vite, enabling data validation, anomaly alerts, and user feedback for continuous improvement.
agniramadani/hackademix
Repository for BaselHack 2024 from the Hackademix team, working on the MDPI challenge, where we won first place.
agniramadani/SearchEngine
This is a PyLucene app that helps you find songs quickly by title. It can show exact matches and suggest similar titles if you misspell or approximate the search.