Best AI tools for< Find New Look >
20 - AI tool Sites
Hairstyle AI
Hairstyle AI is an AI-powered application that allows users to virtually try out new hairstyles before getting a real haircut. With over 155,760 hairstyles already created for 1,298 happy customers, Hairstyle AI provides a platform for users to experiment with different haircuts and styles, helping them feel more confident in their appearance. The application offers a range of features such as generating AI hairstyles indistinguishable from real photos, providing a variety of hairstyle options, and ensuring user privacy and security.
Change Clothes AI
Change Clothes AI is an innovative AI-powered online tool that revolutionizes the way we try on clothes. By utilizing cutting-edge AI algorithms, the application analyzes user photos and garment images to seamlessly create realistic images of individuals wearing new outfits. With a user-friendly interface and hyperrealistic results, Change Clothes AI eliminates the guesswork in online shopping, allowing users to visualize themselves in different styles effortlessly. The application offers a free trial and aims to provide a fun and functional experience for exploring endless outfit possibilities.
My Perfect Hairstyle
My Perfect Hairstyle is an AI-powered tool that helps users find their perfect hairstyle. By utilizing advanced artificial intelligence algorithms, the application analyzes facial features and suggests hairstyles that best suit the user's unique characteristics. Users can experiment with different styles virtually before making a decision, saving time and effort. Whether you're looking for a new haircut, color, or style, My Perfect Hairstyle provides personalized recommendations tailored to your preferences.
OutfitIdeas
OutfitIdeas is an AI-powered styling tool that offers personalized haircut and outfit recommendations based on individual preferences. Users can upload a photo and answer a simple questionnaire to receive a free lookbook with haircut and outfit designs, face-fit visualizations, expert tips, and a shopping guide. The platform aims to serve as a personal image consultant, helping users save time, effort, and money while achieving their desired style.
Hella Jobs
Hella Jobs is a leading platform for AI, Machine Learning, and Data Science jobs. It connects job seekers with top employers in the field of AI/ML, allowing employers to post open jobs and hire top talent. Job seekers can create profiles, submit resumes, and find new job opportunities. The platform offers features such as job filtering by keywords and location, job category selection, salary range selection, and job type filtering. Hella Jobs aims to streamline the job search process for both employers and job seekers in the AI/ML industry.
AI Hairstyles
AI Hairstyles is a website that allows users to try on different hairstyles and colors using artificial intelligence. Users can upload a selfie and choose from a variety of styles and colors to see how they would look with a new hairstyle. The website also offers a privacy-first approach, deleting user images after 30 days of inactivity.
Word Changer
Word Changer is an online tool that helps you rewrite and enhance your writing. It analyzes your content and provides suggested alternative words and phrases to improve your work. It then references a vast database to find creative new ways to express the same ideas. The substituted words fit easily into the context, so the meaning does not change. The suggestions appear highlighted within your text. You can easily accept them with one click or ignore ones that don't quite fit. It's like having an editor look over your shoulder and provide real-time feedback as you write!
Candle
Candle is a career assistant platform that provides personalized guidance and intelligence to help individuals learn and earn more. It offers job search assistance, skills coaching, and career advice. Candle's mission is to transform opportunity for everyone with its unique AI platform that puts the power of a 24/7 career assistant into the hands of talent, globally.
A Million Dollar Idea
A Million Dollar Idea is an AI-powered business idea generator that helps entrepreneurs and small business owners come up with new and innovative business ideas. The tool uses a variety of data sources, including industry trends, market research, and user feedback, to generate ideas that are tailored to the user's specific needs and interests. A Million Dollar Idea is a valuable resource for anyone who is looking to start a new business or grow an existing one.
JobWharf.ai
JobWharf.ai is an AI-powered job application platform that helps users apply for jobs by submitting their CVs to various companies and startups. The platform offers a wide range of job opportunities in different categories and regions, with features like refining job searches, sending job applications on behalf of users, and providing CV optimization services. JobWharf.ai aims to simplify the job hunting process and increase users' chances of getting hired by matching their career goals with suitable employment opportunities.
HarmonySnippetsAI
HarmonySnippetsAI is an AI application designed to help music creators and content producers identify engaging segments within their tracks quickly and efficiently. By leveraging AI algorithms, users can upload audio files and receive results that highlight the most captivating parts of their music. This tool is ideal for musicians looking to promote their work on social media platforms like Instagram, Facebook, and TikTok, enhancing audience engagement and expanding their reach.
Yoit
Yoit is a fashion website that offers a wide range of trendy clothing options inspired by celebrity styles and popular fashion trends. The platform provides users with access to affordable versions of celebrity outfits, top brand collections, and style recommendations. Yoit aims to make fashion easy and accessible for everyone, providing a curated selection of clothing items suitable for various occasions and seasons. Users can stay updated on the latest fashion news, trends, and tips through Yoit's newsletters and weekly updates. The website caters to fashion enthusiasts looking to enhance their wardrobe with stylish and chic clothing choices.
AI Bookstore
AI Bookstore is a website that uses AI to help users find books that they want to read. Users can ask the AI questions about what they are looking for, and the AI will recommend books that match their criteria. The AI can also generate personalized recommendations based on a user's reading history.
Canopy Directory
Canopy Directory is an AI tool designed specifically for educators. It provides a comprehensive directory of AI tools that can be used in educational settings. The platform aims to streamline the process of finding and utilizing AI tools for teaching and learning purposes. Educators can explore a wide range of tools categorized based on their functionalities and applications, making it easier to integrate AI technology into their teaching practices. Canopy Directory serves as a valuable resource for educators looking to enhance their teaching methods through the use of AI tools.
MovieWiser
MovieWiser is an AI-powered movie and series recommendation engine that provides personalized suggestions based on your current mood. It analyzes your past viewing history, preferences, and current emotional state to curate a list of movies and series that are tailored to your specific needs. With MovieWiser, you can easily find the perfect movie or series to watch, whether you're looking for something to relax and unwind with, something to make you laugh, or something to get your adrenaline pumping.
eBicycles.ai
eBicycles.ai is a comprehensive online platform that serves as your personal e-bike expert. Whether you are looking to purchase a new e-bike or maintain your current one, eBicycles.ai provides valuable information and resources to help you make informed decisions. The platform offers a blog with insightful articles, a calculator to assist with e-bike-related calculations, a directory of e-bike products and services, and information about e-bike technology trends and safety accessories.
Read This Twice
Read This Twice is a website dedicated to finding and recommending books worth reading twice. The platform offers a curated selection of book recommendations from notable figures like Barack Obama, Bill Gates, Oprah Winfrey, and others. The database is continually expanding with verified recommendations linked to the original sources. Users can explore various reading lists, discover new books, and receive personalized recommendations through an AI-driven book recommendation assistant called 'Sona.'
TattoosAI
TattoosAI is an AI-powered tattoo generator that helps users create unique and personalized tattoo designs. With TattoosAI, users can simply enter their tattoo idea into a prompt field, and the AI will generate multiple design concepts based on their input. Users can then select the style and color of their tattoo, and the AI will generate a final design that is ready to be inked. TattoosAI is a great tool for anyone who is looking for a unique and personalized tattoo design.
Swinghub
Swinghub is the ultimate non-monogamous social network app. It is packed with powerful features to help you get started, including the ability to see who's near you, who's looked at you, and what events are happening around you. Swinghub also has a number of safety features in place, including AI technology to prevent catfish profiles and AI moderation to ensure that nothing illegal or outside the community guidelines is being posted.
Clip.audio
Clip.audio is an AI-powered audio search engine that allows users to search for and discover audio clips from a variety of sources, including podcasts, music, and sound effects. The platform uses advanced machine learning algorithms to analyze and index audio content, making it easy for users to find the specific audio clips they are looking for.
20 - Open Source AI Tools
commonplace-bot
Commonplace Bot is a modern representation of the commonplace book, leveraging modern technological advancements in computation, data storage, machine learning, and networking. It aims to capture, engage, and share knowledge by providing a platform for users to collect ideas, quotes, and information, organize them efficiently, engage with the data through various strategies and triggers, and transform the data into new mediums for sharing. The tool utilizes embeddings and cached transformations for efficient data storage and retrieval, flips traditional engagement rules by engaging with the user, and enables users to alchemize raw data into new forms like art prompts. Commonplace Bot offers a unique approach to knowledge management and creative expression.
linkedin-api
The Linkedin API for Python allows users to programmatically search profiles, send messages, and find jobs using a regular Linkedin user account. It does not require 'official' API access, just a valid Linkedin account. However, it is important to note that this library is not officially supported by LinkedIn and using it may violate LinkedIn's Terms of Service. Users can authenticate using any Linkedin account credentials and access features like getting profiles, profile contact info, and connections. The library also provides commercial alternatives for extracting data, scraping public profiles, and accessing a full LinkedIn API. It is not endorsed or supported by LinkedIn and is intended for educational purposes and personal use only.
second-brain-agent
The Second Brain AI Agent Project is a tool designed to empower personal knowledge management by automatically indexing markdown files and links, providing a smart search engine powered by OpenAI, integrating seamlessly with different note-taking methods, and enhancing productivity by accessing information efficiently. The system is built on LangChain framework and ChromaDB vector store, utilizing a pipeline to process markdown files and extract text and links for indexing. It employs a Retrieval-augmented generation (RAG) process to provide context for asking questions to the large language model. The tool is beneficial for professionals, students, researchers, and creatives looking to streamline workflows, improve study sessions, delve deep into research, and organize thoughts and ideas effortlessly.
llms-tools
The 'llms-tools' repository is a comprehensive collection of AI tools, open-source projects, and research related to Large Language Models (LLMs) and Chatbots. It covers a wide range of topics such as AI in various domains, open-source models, chats & assistants, visual language models, evaluation tools, libraries, devices, income models, text-to-image, computer vision, audio & speech, code & math, games, robotics, typography, bio & med, military, climate, finance, and presentation. The repository provides valuable resources for researchers, developers, and enthusiasts interested in exploring the capabilities of LLMs and related technologies.
promptbook
Promptbook is a library designed to build responsible, controlled, and transparent applications on top of large language models (LLMs). It helps users overcome limitations of LLMs like hallucinations, off-topic responses, and poor quality output by offering features such as fine-tuning models, prompt-engineering, and orchestrating multiple prompts in a pipeline. The library separates concerns, establishes a common format for prompt business logic, and handles low-level details like model selection and context size. It also provides tools for pipeline execution, caching, fine-tuning, anomaly detection, and versioning. Promptbook supports advanced techniques like Retrieval-Augmented Generation (RAG) and knowledge utilization to enhance output quality.
torchchat
torchchat is a codebase showcasing the ability to run large language models (LLMs) seamlessly. It allows running LLMs using Python in various environments such as desktop, server, iOS, and Android. The tool supports running models via PyTorch, chatting, generating text, running chat in the browser, and running models on desktop/server without Python. It also provides features like AOT Inductor for faster execution, running in C++ using the runner, and deploying and running on iOS and Android. The tool supports popular hardware and OS including Linux, Mac OS, Android, and iOS, with various data types and execution modes available.
animal-ai
Animal-Artificial Intelligence (Animal-AI) is an interdisciplinary research platform designed to understand human, animal, and artificial cognition. It supports AI research to unlock cognitive capabilities and explore the space of possible minds. The open-source project facilitates testing across animals, humans, and AI, providing a comprehensive AI environment with a library of 900 tasks. It offers compatibility with Windows, Linux, and macOS, supporting Python 3.6.x and above. The environment utilizes Unity3D Game Engine, Unity ML-Agents toolkit, and provides interactive elements for AI training scenarios.
deepdoctection
**deep** doctection is a Python library that orchestrates document extraction and document layout analysis tasks using deep learning models. It does not implement models but enables you to build pipelines using highly acknowledged libraries for object detection, OCR and selected NLP tasks and provides an integrated framework for fine-tuning, evaluating and running models. For more specific text processing tasks use one of the many other great NLP libraries. **deep** doctection focuses on applications and is made for those who want to solve real world problems related to document extraction from PDFs or scans in various image formats. **deep** doctection provides model wrappers of supported libraries for various tasks to be integrated into pipelines. Its core function does not depend on any specific deep learning library. Selected models for the following tasks are currently supported: * Document layout analysis including table recognition in Tensorflow with **Tensorpack**, or PyTorch with **Detectron2**, * OCR with support of **Tesseract**, **DocTr** (Tensorflow and PyTorch implementations available) and a wrapper to an API for a commercial solution, * Text mining for native PDFs with **pdfplumber**, * Language detection with **fastText**, * Deskewing and rotating images with **jdeskew**. * Document and token classification with all LayoutLM models provided by the **Transformer library**. (Yes, you can use any LayoutLM-model with any of the provided OCR-or pdfplumber tools straight away!). * Table detection and table structure recognition with **table-transformer**. * There is a small dataset for token classification available and a lot of new tutorials to show, how to train and evaluate this dataset using LayoutLMv1, LayoutLMv2, LayoutXLM and LayoutLMv3. * Comprehensive configuration of **analyzer** like choosing different models, output parsing, OCR selection. Check this notebook or the docs for more infos. * Document layout analysis and table recognition now runs with **Torchscript** (CPU) as well and **Detectron2** is not required anymore for basic inference. * [**new**] More angle predictors for determining the rotation of a document based on **Tesseract** and **DocTr** (not contained in the built-in Analyzer). * [**new**] Token classification with **LiLT** via **transformers**. We have added a model wrapper for token classification with LiLT and added a some LiLT models to the model catalog that seem to look promising, especially if you want to train a model on non-english data. The training script for LayoutLM can be used for LiLT as well and we will be providing a notebook on how to train a model on a custom dataset soon. **deep** doctection provides on top of that methods for pre-processing inputs to models like cropping or resizing and to post-process results, like validating duplicate outputs, relating words to detected layout segments or ordering words into contiguous text. You will get an output in JSON format that you can customize even further by yourself. Have a look at the **introduction notebook** in the notebook repo for an easy start. Check the **release notes** for recent updates. **deep** doctection or its support libraries provide pre-trained models that are in most of the cases available at the **Hugging Face Model Hub** or that will be automatically downloaded once requested. For instance, you can find pre-trained object detection models from the Tensorpack or Detectron2 framework for coarse layout analysis, table cell detection and table recognition. Training is a substantial part to get pipelines ready on some specific domain, let it be document layout analysis, document classification or NER. **deep** doctection provides training scripts for models that are based on trainers developed from the library that hosts the model code. Moreover, **deep** doctection hosts code to some well established datasets like **Publaynet** that makes it easy to experiment. It also contains mappings from widely used data formats like COCO and it has a dataset framework (akin to **datasets** so that setting up training on a custom dataset becomes very easy. **This notebook** shows you how to do this. **deep** doctection comes equipped with a framework that allows you to evaluate predictions of a single or multiple models in a pipeline against some ground truth. Check again **here** how it is done. Having set up a pipeline it takes you a few lines of code to instantiate the pipeline and after a for loop all pages will be processed through the pipeline.
deep-seek
DeepSeek is a new experimental architecture for a large language model (LLM) powered internet-scale retrieval engine. Unlike current research agents designed as answer engines, DeepSeek aims to process a vast amount of sources to collect a comprehensive list of entities and enrich them with additional relevant data. The end result is a table with retrieved entities and enriched columns, providing a comprehensive overview of the topic. DeepSeek utilizes both standard keyword search and neural search to find relevant content, and employs an LLM to extract specific entities and their associated contents. It also includes a smaller answer agent to enrich the retrieved data, ensuring thoroughness. DeepSeek has the potential to revolutionize research and information gathering by providing a comprehensive and structured way to access information from the vastness of the internet.
flute
FLUTE (Flexible Lookup Table Engine for LUT-quantized LLMs) is a tool designed for uniform quantization and lookup table quantization of weights in lower-precision intervals. It offers flexibility in mapping intervals to arbitrary values through a lookup table. FLUTE supports various quantization formats such as int4, int3, int2, fp4, fp3, fp2, nf4, nf3, nf2, and even custom tables. The tool also introduces new quantization algorithms like Learned Normal Float (NFL) for improved performance and calibration data learning. FLUTE provides benchmarks, model zoo, and integration with frameworks like vLLM and HuggingFace for easy deployment and usage.
2025-AI-College-Jobs
2025-AI-College-Jobs is a repository containing a comprehensive list of AI/ML & Data Science jobs suitable for college students seeking internships or new graduate positions. The repository is regularly updated with positions posted within the last 120 days, featuring opportunities from various companies in the USA and internationally. The list includes positions in areas such as research scientist internships, quantitative research analyst roles, and other data science-related positions. The repository aims to provide a valuable resource for students looking to kickstart their careers in the field of artificial intelligence and machine learning.
lobe-chat-plugins
Lobe Chat Plugins Index is a repository that serves as a collection of various plugins for Function Calling. Users can submit their plugins by following specific instructions. The repository includes a wide range of plugins for different tasks such as image generation, stock analysis, web search, NFT tracking, calendar management, and more. Each plugin is tagged with relevant keywords for easy identification and usage. The repository encourages contributions and provides guidelines for submitting new plugins. It is a valuable resource for developers looking to enhance chatbot functionalities with different plugins.
ai-driven-dev-community
AI Driven Dev Community is a repository aimed at helping developers become more efficient by utilizing AI tools in their daily coding tasks. It provides a collection of tools, prompts, snippets, and agents for developers to integrate AI into their workflow. The repository is regularly updated with new resources and focuses on best practices for using AI in development work. Users can find tools like Espanso, ChatGPT, GitHub Copilot, and VSCode recommended for enhancing their coding experience. Additionally, the repository offers guidance on customizing AI for developers, installing AI toolbox for software engineers, and contributing to the community through easy steps.
generative-ai-for-beginners
This course has 18 lessons. Each lesson covers its own topic so start wherever you like! Lessons are labeled either "Learn" lessons explaining a Generative AI concept or "Build" lessons that explain a concept and code examples in both **Python** and **TypeScript** when possible. Each lesson also includes a "Keep Learning" section with additional learning tools. **What You Need** * Access to the Azure OpenAI Service **OR** OpenAI API - _Only required to complete coding lessons_ * Basic knowledge of Python or Typescript is helpful - *For absolute beginners check out these Python and TypeScript courses. * A Github account to fork this entire repo to your own GitHub account We have created a **Course Setup** lesson to help you with setting up your development environment. Don't forget to star (🌟) this repo to find it easier later. ## 🧠 Ready to Deploy? If you are looking for more advanced code samples, check out our collection of Generative AI Code Samples in both **Python** and **TypeScript**. ## 🗣️ Meet Other Learners, Get Support Join our official AI Discord server to meet and network with other learners taking this course and get support. ## 🚀 Building a Startup? Sign up for Microsoft for Startups Founders Hub to receive **free OpenAI credits** and up to **$150k towards Azure credits to access OpenAI models through Azure OpenAI Services**. ## 🙏 Want to help? Do you have suggestions or found spelling or code errors? Raise an issue or Create a pull request ## 📂 Each lesson includes: * A short video introduction to the topic * A written lesson located in the README * Python and TypeScript code samples supporting Azure OpenAI and OpenAI API * Links to extra resources to continue your learning ## 🗃️ Lessons | | Lesson Link | Description | Additional Learning | | :-: | :------------------------------------------------------------------------------------------------------------------------------------------: | :---------------------------------------------------------------------------------------------: | ------------------------------------------------------------------------------ | | 00 | Course Setup | **Learn:** How to Setup Your Development Environment | Learn More | | 01 | Introduction to Generative AI and LLMs | **Learn:** Understanding what Generative AI is and how Large Language Models (LLMs) work. | Learn More | | 02 | Exploring and comparing different LLMs | **Learn:** How to select the right model for your use case | Learn More | | 03 | Using Generative AI Responsibly | **Learn:** How to build Generative AI Applications responsibly | Learn More | | 04 | Understanding Prompt Engineering Fundamentals | **Learn:** Hands-on Prompt Engineering Best Practices | Learn More | | 05 | Creating Advanced Prompts | **Learn:** How to apply prompt engineering techniques that improve the outcome of your prompts. | Learn More | | 06 | Building Text Generation Applications | **Build:** A text generation app using Azure OpenAI | Learn More | | 07 | Building Chat Applications | **Build:** Techniques for efficiently building and integrating chat applications. | Learn More | | 08 | Building Search Apps Vector Databases | **Build:** A search application that uses Embeddings to search for data. | Learn More | | 09 | Building Image Generation Applications | **Build:** A image generation application | Learn More | | 10 | Building Low Code AI Applications | **Build:** A Generative AI application using Low Code tools | Learn More | | 11 | Integrating External Applications with Function Calling | **Build:** What is function calling and its use cases for applications | Learn More | | 12 | Designing UX for AI Applications | **Learn:** How to apply UX design principles when developing Generative AI Applications | Learn More | | 13 | Securing Your Generative AI Applications | **Learn:** The threats and risks to AI systems and methods to secure these systems. | Learn More | | 14 | The Generative AI Application Lifecycle | **Learn:** The tools and metrics to manage the LLM Lifecycle and LLMOps | Learn More | | 15 | Retrieval Augmented Generation (RAG) and Vector Databases | **Build:** An application using a RAG Framework to retrieve embeddings from a Vector Databases | Learn More | | 16 | Open Source Models and Hugging Face | **Build:** An application using open source models available on Hugging Face | Learn More | | 17 | AI Agents | **Build:** An application using an AI Agent Framework | Learn More | | 18 | Fine-Tuning LLMs | **Learn:** The what, why and how of fine-tuning LLMs | Learn More |
awesome-ai-tools
Awesome AI Tools is a curated list of popular tools and resources for artificial intelligence enthusiasts. It includes a wide range of tools such as machine learning libraries, deep learning frameworks, data visualization tools, and natural language processing resources. Whether you are a beginner or an experienced AI practitioner, this repository aims to provide you with a comprehensive collection of tools to enhance your AI projects and research. Explore the list to discover new tools, stay updated with the latest advancements in AI technology, and find the right resources to support your AI endeavors.
rlhf_trojan_competition
This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.
AlwaysReddy
AlwaysReddy is a simple LLM assistant with no UI that you interact with entirely using hotkeys. It can easily read from or write to your clipboard, and voice chat with you via TTS and STT. Here are some of the things you can use AlwaysReddy for: - Explain a new concept to AlwaysReddy and have it save the concept (in roughly your words) into a note. - Ask AlwaysReddy "What is X called?" when you know how to roughly describe something but can't remember what it is called. - Have AlwaysReddy proofread the text in your clipboard before you send it. - Ask AlwaysReddy "From the comments in my clipboard, what do the r/LocalLLaMA users think of X?" - Quickly list what you have done today and get AlwaysReddy to write a journal entry to your clipboard before you shutdown the computer for the day.
start-llms
This repository is a comprehensive guide for individuals looking to start and improve their skills in Large Language Models (LLMs) without an advanced background in the field. It provides free resources, online courses, books, articles, and practical tips to become an expert in machine learning. The guide covers topics such as terminology, transformers, prompting, retrieval augmented generation (RAG), and more. It also includes recommendations for podcasts, YouTube videos, and communities to stay updated with the latest news in AI and LLMs.
lfai-landscape
LF AI & Data Landscape is a map to explore open source projects in the AI & Data domains, highlighting companies that are members of LF AI & Data. It showcases members of the Foundation and is modelled after the Cloud Native Computing Foundation landscape. The landscape includes current version, interactive version, new entries, logos, proper SVGs, corrections, external data, best practices badge, non-updated items, license, formats, installation, vulnerability reporting, and adjusting the landscape view.
20 - OpenAI Gpts
Hair Style Guru | Create Your New Look 👩🦳
Advisor for hairstyles, top products, and salon recommendations matched with your hair type and location.
Turkish Master Chef
Creates Turkish recipes. Just name what you're looking for or show the ingredients you've available.
I Spy With My Little Eye
I play a visual guessing game, challenging users to find hidden objects.
Business Analyst (SaaS)
Your supportive partner in SaaS sales strategy! Helps you find new leads, conducts research, and much more!
Seek
Personalized Product and Brand Discovery Assistant, with a focus on new-age Indian brands.
Song Cover Recommender
Enthusiastic YouTuber GPT finding trending YouTube music links in ballads, R&B, hip hop
Discover Unknown Taste GPT
It is an adaptive communicator and predicts unknown tastes for a wide variety of dishes.
BassBot - Good Music and Bangers Only
Bass Music | EDM | Trap | Wave | Dubstep | Drum 'n Bass | Bass House | Electronic |