Best AI tools for< Manage Waste >

Nyota.ai is an AI meeting assistant designed to help manage projects and people efficiently. It automatically takes meeting notes, creates tickets, and prepares agendas for upcoming calls. With seamless integrations with various project management tools and CRMs, Nyota aims to centralize workflows and boost operational efficiency. The application prioritizes security and privacy by encrypting all data at rest and ensuring staff undergo security training. Nyota helps users deliver projects on time, reclaim hours by automating administrative tasks, and provides valuable insights for quick decision-making.

StrAIberry is an AI solution for the Patient, Insurance, Dentist triangle that can organize and solve the issues of personal oral hygiene, appointment setting, second eye opinion with the highest precision for dentists, insurance fraud, and risk management for insurance while saving cost, time and paper waste.

AMP Smart Sortation™ is waste sortation's permanent solution. As the leader in AI-powered sortation, we give waste and recycling leaders the power to reduce labor costs, increase resource recovery, and deliver more reliable operations. AMP's AI-powered automation allows real-time material characterization and configuration to capture the most value from any material stream.

AMP Smart Sortation™ is the waste sortation industry's permanent solution. As the leader in AI-powered sortation, AMP gives waste and recycling leaders the power to reduce labor costs, increase resource recovery, and deliver more reliable operations. AMP's AI-powered automation allows real-time material characterization and configuration to capture the most value from any material stream.

cloudNito is an AI-driven platform that specializes in cloud cost optimization and management for businesses using AWS services. The platform offers automated cost optimization, comprehensive insights and analytics, unified cloud management, anomaly detection, cost and usage explorer, recommendations for waste reduction, and resource optimization. By leveraging advanced AI solutions, cloudNito aims to help businesses efficiently manage their AWS cloud resources, reduce costs, and enhance performance.

LegalMaps is a collaborative legal spend management platform designed for law firms and businesses to streamline their legal processes. The platform helps users to collaborate effectively, focus on critical matters, simplify strategies, teams, and budgets, leading to less waste, more agility, and better results. LegalMaps offers features such as collaborative legal spend management, real-time tracking, forecasting tools, and transparency in budgets and plans. The platform aims to revolutionize the legal industry by providing automated tools for forecasting legal spend, eliminating manual processes, and enhancing transparency between legal departments and law firms.

Inpulse.ai is an AI platform that revolutionizes inventory management and supplier ordering for restaurant chains. It assists managers in making informed decisions by accurately forecasting sales, anticipating production needs, and optimizing food supplies. The platform provides real-time performance monitoring, automated production planning, and centralized data management to help restaurants improve their margins and reduce waste. Inpulse.ai is used by over 3,000 restaurants, food kiosks, and bakeries on a daily basis, offering a comprehensive solution to streamline operations and boost profitability.

FYLD is an award-winning digital platform that utilizes machine learning to automatically transform video and audio footage into real-time workflows, video risk assessments, and analytics dashboards. It aims to eliminate paperwork, save time, and create safer work sites for various sectors such as Highways, Energy, Water, and Wastewater. FYLD helps managers prioritize high-risk sites, reduces paperwork, and enhances efficiency by providing remote visibility of site conditions. The platform empowers fieldworkers, contractors, and civil engineers by streamlining job processes, improving safety measures, and minimizing environmental impact.

Choco is an AI-powered platform designed for distributors and restaurants to streamline order processing and management. With Choco AI, orders from various sources like voicemails, SMS, emails, and third-party providers are automatically processed into the ERP system within seconds. The platform aims to enhance operational efficiency, reduce manual work and errors, improve customer satisfaction, and minimize waste in the food supply industry. Choco offers features such as digital order processing, AI-CRM solutions, marketing assistance, team management, and access to a comprehensive product catalog.

Polet Wunik International (PWI) is a sustainable product development company based in Taipei, Taiwan. They partner with startups and brands to bring innovative and eco-friendly products to the market. PWI focuses on home-compostable and durable products, offering services such as new product development, consulting, contract manufacturing, and sourcing. Their approach includes a system-wide sustainability assessment to reduce waste and promote regeneration. PWI aims to help clients achieve their goals while positively impacting society and the environment.

Keylabs is a state-of-the-art data annotation platform that enhances AI projects with highly precise data annotation and innovative tools. It offers image and video annotation, labeling, and ML-assisted features for industries such as automotive, aerial, agriculture, robotics, manufacturing, waste management, medical, healthcare, retail, fashion, sports, security, livestock, construction, and logistics. Keylabs provides advanced annotation tools, built-in machine learning, efficient operation management, and extra high performance to boost the preparation of visual data for machine learning. The platform ensures transparency in pricing with no hidden fees and offers a free trial for users to experience its capabilities.

FoodiePrep is an AI-powered application that offers personalized recipes and meal planning solutions. Users can enjoy tailored recipe suggestions based on their preferences and dietary needs, as well as efficient meal planning tools. The platform aims to revolutionize the way users approach cooking by providing diverse cuisine options, health-conscious choices, and a virtual culinary assistant named Chef Foodie. With features like end-to-end meal planning, recipe generation, meal planner, smart shopping lists, and ingredient management, FoodiePrep caters to individuals looking to save time, eat healthier, and reduce food waste.

RELEX Solutions is a market-leading supply chain and retail planning platform that leverages artificial intelligence to revolutionize supply chains. The platform offers end-to-end inventory planning, production scheduling, demand forecasting, merchandising, assortment planning, price optimization, promotion planning, and more. RELEX enables retailers and consumer goods companies to align their supply chain and retail operations with actual demand, driving profitability through increased sales and reduced costs while minimizing waste. The platform caters to various industries such as retail, convenience, electronics, grocery, health, beauty, pharmaceutical, and more, providing tailored solutions for each sector.

Walter Shields Data Academy is an AI-powered platform offering premium training in SQL, Python, and Excel. With over 200,000 learners, it provides curated courses from bestselling books and LinkedIn Learning. The academy aims to revolutionize data expertise and empower individuals to excel in data analysis and AI technologies.

Greyparrot provides AI-powered waste analytics solutions for recycling facilities and packaging companies. Their AI waste analytics platform, Greyparrot Analyzer, uses cameras to track materials passing on conveyor belts and translates images into real-time insights on a live dashboard. Greyparrot Sync connects that live data stream to existing or new hardware and software. Greyparrot's AI identifies all of the waste objects found in global municipal recovery sites, with 67 waste categories and counting. Their AI waste analytics enable automation in sorting facilities and increase transparency at each stage of the global value chain.

This AI-powered tool assists in validating product ideas by generating interview questions, surveys, and polls. It enables users to identify their target audience, gather feedback, and analyze insights to refine their product development process.

Unwatermark.AI is an advanced AI-powered tool designed specifically for removing watermarks from images and videos. It offers a fast, reliable, and user-friendly experience, allowing users to easily remove logos, text, and other unwanted elements from their visuals. The tool supports common image formats like JPG, PNG, WEBP, JPEG, BMP, and even provides a step-by-step guide for watermark removal. With features like high quality output, privacy assurance, multi-terminal support, and fast processing speed, Unwatermark.AI is a valuable solution for content creators, influencers, students, and anyone looking to manage their visual content effectively.

Tability is an AI-assisted goal setting and tracking application designed to help users set better goals, stay on track with their objectives, and improve overall performance. The platform offers features such as AI-assisted goal editing, on-demand reporting, full-company view of goals, task tracking, and daily standups. Tability integrates with project management platforms and automates reminders, engagement, and reporting to enhance productivity and accountability. With a focus on turning goals into habits, Tability aims to eliminate distractions and ensure teams deliver outstanding results by keeping goals at the center of weekly routines.

PageWise AI is an AI application that provides instant insight into Confluence data by turning tedious searches and repetitive questions into intuitive AI-powered conversations directly in Slack. It offers effortless integration with Slack and Confluence accounts, eliminates the need for sifting through pages, reduces repetitive queries, connects hidden insights within Confluence pages, boosts communication, and scales with business needs. PageWise AI offers flexible pricing plans catering to different team sizes and requirements, with the option for custom integrations, data sources, and self-hosted solutions for enterprise users.

Menusso is a comprehensive restaurant menu management system that utilizes AI technology to enhance the dining experience. It offers real-time menu updates, high-quality dish photos, and instant AI translations in 15 languages, eliminating the need for physical menus. By streamlining menu management, Menusso empowers restaurants to provide quicker and more efficient service to their guests.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework known for its lightweight design, scalability, and high-speed performance. It offers features like tri-process asynchronous collaboration, Nopad for efficient attention operations, dynamic batch scheduling, FlashAttention integration, tensor parallelism, Token Attention for zero memory waste, and Int8KV Cache. The tool supports various models like BLOOM, LLaMA, StarCoder, Qwen-7b, ChatGLM2-6b, Baichuan-7b, Baichuan2-7b, Baichuan2-13b, InternLM-7b, Yi-34b, Qwen-VL, Llava-7b, Mixtral, Stablelm, and MiniCPM. Users can deploy and query models using the provided server launch commands and interact with multimodal models like QWen-VL and Llava using specific queries and images.

Clipboard Conqueror is a multi-platform omnipresent copilot alternative. Currently requiring a kobold united or openAI compatible back end, this software brings powerful LLM based tools to any text field, the universal copilot you deserve. It simply works anywhere. No need to sign in, no required key. Provided you are using local AI, CC is a data secure alternative integration provided you trust whatever backend you use. *Special thank you to the creators of KoboldAi, KoboldCPP, llamma, openAi, and the communities that made all this possible to figure out.

GenAI Agents is a comprehensive repository for developing and implementing Generative AI (GenAI) agents, ranging from simple conversational bots to complex multi-agent systems. It serves as a valuable resource for learning, building, and sharing GenAI agents, offering tutorials, implementations, and a platform for showcasing innovative agent creations. The repository covers a wide range of agent architectures and applications, providing step-by-step tutorials, ready-to-use implementations, and regular updates on advancements in GenAI technology.

The Universal Numbers Library is a header-only C++ template library designed for universal number arithmetic, offering alternatives to native integer and floating-point for mixed-precision algorithm development and optimization. It tailors arithmetic types to the application's precision and dynamic range, enabling improved application performance and energy efficiency. The library provides fast implementations of special IEEE-754 formats like quarter precision, half-precision, and quad precision, as well as vendor-specific extensions. It supports static and elastic integers, decimals, fixed-points, rationals, linear floats, tapered floats, logarithmic, interval, and adaptive-precision integers, rationals, and floats. The library is suitable for AI, DSP, HPC, and HFT algorithms.

OpenOrch is a daemon that transforms servers into a powerful development environment, running AI models, containers, and microservices. It serves as a blend of Kubernetes and a language-agnostic backend framework for building applications on fixed-resource setups. Users can deploy AI models and build microservices, managing applications while retaining control over infrastructure and data.

A huge blocklist of sites containing AI generated content (~950 sites) for cleaning image search engines with uBlock Origin or uBlacklist. Includes hosts file for pi-hole/adguard. Provides instructions for importing blocklists and additional lists for specific content. Allows users to create allowlists and customize filtering based on keywords. Offers tips and tricks for advanced filtering and comparison between uBlock Origin and uBlacklist implementations.

llm-swarm is a tool designed to manage scalable open LLM inference endpoints in Slurm clusters. It allows users to generate synthetic datasets for pretraining or fine-tuning using local LLMs or Inference Endpoints on the Hugging Face Hub. The tool integrates with huggingface/text-generation-inference and vLLM to generate text at scale. It manages inference endpoint lifetime by automatically spinning up instances via `sbatch`, checking if they are created or connected, performing the generation job, and auto-terminating the inference endpoints to prevent idling. Additionally, it provides load balancing between multiple endpoints using a simple nginx docker for scalability. Users can create slurm files based on default configurations and inspect logs for further analysis. For users without a Slurm cluster, hosted inference endpoints are available for testing with usage limits based on registration status.

AIStore is a lightweight object storage system designed for AI applications. It is highly scalable, reliable, and easy to use. AIStore can be deployed on any commodity hardware, and it can be used to store and manage large datasets for deep learning and other AI applications.

Airchains is a tool for setting up a local EVM network for testing and development purposes. It provides step-by-step instructions for installing and configuring the necessary components. The tool helps users create their own local EVM network, manage keys, deploy contracts, and interact with the network using RPC. It also guides users on setting up a station for tracking and managing transactions. Airchains is designed to facilitate testing and development activities related to blockchain applications built on the EVM platform.

Agent Pilot is an open source desktop app for creating, managing, and chatting with AI agents. It features multi-agent, branching chats with various providers through LiteLLM. Users can combine models from different providers, configure interactions, and run code using the built-in Open Interpreter. The tool allows users to create agents, manage chats, work with multi-agent workflows, branching workflows, context blocks, tools, and plugins. It also supports a code interpreter, scheduler, voice integration, and integration with various AI providers. Contributions to the project are welcome, and users can report known issues for improvement.

APIMyLlama is a server application that provides an interface to interact with the Ollama API, a powerful AI tool to run LLMs. It allows users to easily distribute API keys to create amazing things. The tool offers commands to generate, list, remove, add, change, activate, deactivate, and manage API keys, as well as functionalities to work with webhooks, set rate limits, and get detailed information about API keys. Users can install APIMyLlama packages with NPM, PIP, Jitpack Repo+Gradle or Maven, or from the Crates Repository. The tool supports Node.JS, Python, Java, and Rust for generating responses from the API. Additionally, it provides built-in health checking commands for monitoring API health status.

AnnA is a Python script designed to create filtered decks in optimal review order for Anki flashcards. It uses Machine Learning / AI to ensure semantically linked cards are reviewed far apart. The script helps users manage their daily reviews by creating special filtered decks that prioritize reviewing cards that are most different from the rest. It also allows users to reduce the number of daily reviews while increasing retention and automatically identifies semantic neighbors for each note.

Floki is an open-source framework for researchers and developers to experiment with LLM-based autonomous agents. It provides tools to create, orchestrate, and manage agents while seamlessly connecting to LLM inference APIs. Built on Dapr, Floki leverages a unified programming model that simplifies microservices and supports both deterministic workflows and event-driven interactions. By bringing together these features, Floki provides a powerful way to explore agentic workflows and the components that enable multi-agent systems to collaborate and scale, all powered by Dapr.

Instructor is a Python library that makes it a breeze to work with structured outputs from large language models (LLMs). Built on top of Pydantic, it provides a simple, transparent, and user-friendly API to manage validation, retries, and streaming responses. Get ready to supercharge your LLM workflows!

This simple package can be used to fix an invalid json string. To know all cases in which this package will work, check out the unit test. Inspired by https://github.com/josdejong/jsonrepair Motivation Some LLMs are a bit iffy when it comes to returning well formed JSON data, sometimes they skip a parentheses and sometimes they add some words in it, because that's what an LLM does. Luckily, the mistakes LLMs make are simple enough to be fixed without destroying the content. I searched for a lightweight python package that was able to reliably fix this problem but couldn't find any. So I wrote one How to use from json_repair import repair_json good_json_string = repair_json(bad_json_string) # If the string was super broken this will return an empty string You can use this library to completely replace `json.loads()`: import json_repair decoded_object = json_repair.loads(json_string) or just import json_repair decoded_object = json_repair.repair_json(json_string, return_objects=True) Read json from a file or file descriptor JSON repair provides also a drop-in replacement for `json.load()`: import json_repair try: file_descriptor = open(fname, 'rb') except OSError: ... with file_descriptor: decoded_object = json_repair.load(file_descriptor) and another method to read from a file: import json_repair try: decoded_object = json_repair.from_file(json_file) except OSError: ... except IOError: ... Keep in mind that the library will not catch any IO-related exception and those will need to be managed by you Performance considerations If you find this library too slow because is using `json.loads()` you can skip that by passing `skip_json_loads=True` to `repair_json`. Like: from json_repair import repair_json good_json_string = repair_json(bad_json_string, skip_json_loads=True) I made a choice of not using any fast json library to avoid having any external dependency, so that anybody can use it regardless of their stack. Some rules of thumb to use: - Setting `return_objects=True` will always be faster because the parser returns an object already and it doesn't have serialize that object to JSON - `skip_json_loads` is faster only if you 100% know that the string is not a valid JSON - If you are having issues with escaping pass the string as **raw** string like: `r"string with escaping\"" Adding to requirements Please pin this library only on the major version! We use TDD and strict semantic versioning, there will be frequent updates and no breaking changes in minor and patch versions. To ensure that you only pin the major version of this library in your `requirements.txt`, specify the package name followed by the major version and a wildcard for minor and patch versions. For example: json_repair==0.* In this example, any version that starts with `0.` will be acceptable, allowing for updates on minor and patch versions. How it works This module will parse the JSON file following the BNF definition: ::= | ::= | | ; Where: ; is a valid real number expressed in one of a number of given formats ; is a string of valid characters enclosed in quotes ; is one of the literal strings 'true', 'false', or 'null' (unquoted) ::=