The most advanced Web UI for AI chat
-
Updated
May 26, 2025 - HTML
The most advanced Web UI for AI chat
Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.
Deep Shell is an intelligent terminal application that combines a chat interface with a command-line interface, It helps users execute terminal commands through natural language conversations.
The AI models used for my personal purposes and their usage (Gemini, Copilot, Dialogflow,...)
Seave is a web platform that enables genetic variants to be easily filtered and annotated with in silico pathogenicity prediction scores and annotations from popular disease databases. Seave stores genomic variation of all types and sizes, and allows filtering for specific inheritance patterns, quality values, allele frequencies and gene lists. …
Educational platform utilising Google AI to enhance student learning and note-taking experience. The app will offer features like voice note recording, transcription, image-to-text conversion, text-to-PDF generation, ChatGPT integration for summarisation and translation, a user-friendly interface, cloud storage, and customisation options.
Read and Listen to NeurIPS 2024 Papers
A Chat Interface For Gemini Pro
Example app using google gemini api. Part of #geminisprint
Trying to learn some web scraping. This tool is the first mini project I've made.
Aurora: AI Powered Data Analytics Tool which help users to automate and make their "Data Analysis" tasks easy.
This repository contains the code for a web-based multimodal web chat application that integrates gemini AI, allowing users to interact using both text and images.
A static-page vanilla-js interface for various LLM APIs (OpenAI, Claude, Gemini, Together).
Tutorials Power AI list and categories of Artificial Intelligence for Business
Get burnt by an LLM...
Add a description, image, and links to the gemini topic page so that developers can more easily learn about it.
To associate your repository with the gemini topic, visit your repo's landing page and select "manage topics."