Best AI tools for< Cricket Equipment Designer >

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2 - AI tool Sites

Narrify AI

Narrify AI is an AI-powered application that transforms your videos by adding sports commentary to them. With Narrify AI, users can upload any video file up to 45 seconds in length and enhance it with personalized commentary, highlighting names and key words. The application allows users to create engaging and fun narrated videos to share with friends and family. Narrify AI is a user-friendly tool that adds a unique touch to your videos, making them more entertaining and memorable.

site

: 0

XaslarBet

XaslarBet is an AI betting tips platform that provides advanced trained models for NBA player props and football picks. The platform offers free AI sports tools using predictive analytics and machine learning algorithms to enhance the betting experience. XaslarBet focuses on player performances and historical data to deliver accurate picks across various sports markets, including basketball, baseball, and cricket. The platform aims to revolutionize the betting landscape by offering real-time AI sports predictions for both newcomers and seasoned bettors.

site

: 0

3 - Open Source Tools

videodb-python

VideoDB Python SDK allows you to interact with the VideoDB serverless database. Manage videos as intelligent data, not files. It's scalable, cost-efficient & optimized for AI applications and LLM integration. The SDK provides functionalities for uploading videos, viewing videos, streaming specific sections of videos, searching inside a video, searching inside multiple videos in a collection, adding subtitles to a video, generating thumbnails, and more. It also offers features like indexing videos by spoken words, semantic indexing, and future indexing options for scenes, faces, and specific domains like sports. The SDK aims to simplify video management and enhance AI applications with video data.

github

: 55

uptrain

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured evaluations (covering language, code, embedding use cases), perform root cause analysis on failure cases and give insights on how to resolve them.

github

: 2.0k

blendsql

BlendSQL is a superset of SQLite designed for problem decomposition and hybrid question-answering with Large Language Models (LLMs). It allows users to blend operations over heterogeneous data sources like tables, text, and images, combining the structured and interpretable reasoning of SQL with the generalizable reasoning of LLMs. Users can oversee all calls (LLM + SQL) within a unified query language, enabling tasks such as building LLM chatbots for travel planning and answering complex questions by injecting 'ingredients' as callable functions.

github

: 58