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<p>According to an estimation, over 15% or one billion people of the total world population experience significant disabilities. These disabilities can be major or minor but the barriers in social and economic sectors for such people are the same. Even in the field of technology, people with disabilities are usually ignored. They find it tough to use websites and mobile applications. Considering such people a part of society and to make the live chat widget accessible to such people, I will implement a user-accessible mode. This accessible mode will help them to use the exciting features of the live chat widget.</p>

An AI-Assistant is developed to help developers understand the Rocket.Chat codebase better. This tool uses the existing knowledge base of the code to answer questions about the code structure and logic. It can answer specific questions about the code, create diagrams to explain things clearer, find relevant documentation, and even suggest ways to improve the code. This will help new developers learn the code faster and make the codebase overall better quality, easier to maintain, and more consistent. By helping developers understand the code better, this tool aims to make the Rocket.Chat development community more welcoming and productive.

This project aims to smoothen out the on-boarding process of new contributors to Rocket.Chat. The huge size of Rocket.chat's codebase makes it a overwhelming task to understand and start contributing to it. We use the power of VsCode and its extension CodeTour to explain the most crucial parts of the codebase, motivating them to work towards Open-Source community. We also have circumvented one of the limitations of the Codetour extension, which is its incompatibility with ever-evolving codebases, by employing innovative methods.

<p>A full-screen composer that could be opened from the current composer to provide a larger area for text input or edition, good to send or edit large texts.</p>

<p>The Rocket.Chat Poll App is the go-to app for teams and channel members of any Rocket.Chat rooms for a rich interactive poll. It currently offers multi-voting and single-voting controls with confidential and open responses. The results are displayed in the form of a bar graph with an option to finish the poll. In this project, I plan on adding several new features to the Rocket.Chat Poll App and improving upon the existing ones to augment the user-experience and further the user-engagement achieved through the app.</p>

<p>The project will focus on getting end-to-end testing for the ReactNative repository fully implemented and running by the end. That encompasses making specific E2E variants for all the different flavours that E2E testing is desirable for, as are defined in the build.gradle file. Further on then, different features will be tested for the different variants too. Finally, the testing will have to be integrated into the Continuous Integration/Continuous Development pipelines, which is the main purpose of this project. This should help speed up code review times, and write tests side-by-side for android and iOS.</p>

OpenClaw is an open-source autonomous AI agent framework that allows users to run powerful local AI agents capable of executing complex tasks, using tools, and maintaining long-term memory. However, it currently lacks native integration with Rocket.Chat, a widely used open-source team collaboration platform. This project aims to bridge this gap by building a complete bidirectional integration between OpenClaw and Rocket.Chat. Users will be able to interact with OpenClaw agents directly within Rocket.Chat channels and direct messages, enabling seamless automation, task execution, and proactive responses inside their familiar workspace. I plan to develop a robust Rocket.Chat adapter/plugin that includes bot user creation, REST API integration, incoming and outgoing webhook support, secure authentication, and reliable message handling. Key Deliverables: Production ready OpenClaw plugin for Rocket.Chat Full support for direct messages and public/private channels Smooth sending and receiving of messages with OpenClaw agents Proper configuration support in openclaw.json Comprehensive documentation and setup guide Upon completion, Rocket.Chat users will be able to harness the power of autonomous AI agents for tasks like security audits, reminders, code assistance, and custom workflows directly from within Rocket.Chat.

<p>Proposal for App: Bad-Words Filter. Rocket.Chat is Teams collaboration platform where people from different parts of world come together and collaborate. Some people can be toxic at times and can use harsh words against fellow members. This app can be helpful for Rocket.Chat platform for filtering bad-words.</p>

API documentation plays a vital role in developers' workflow, serving as an essential reference for software integration and development. However, challenges such as outdated or inconsistent documentation frequently hinder efficient utilization. To address this, the proposed project aims to implement automation for API documentation generation leveraging a suite of tools including TypeScript Compiler API, openapi3-ts, Swagger, and OpenAPI specifications. This initiative seeks to streamline the documentation process, ensuring accuracy and consistency by maintaining only a single source-of-truth for the API Documentations.

Rocket.Chat users across multiple time zones need a way to schedule messages for optimal delivery, enhancing global collaboration. This project will implement a native message scheduling feature by integrating a scheduling UI, a cron job to send messages at the designated time, and a contextual bar UI to view and cancel scheduled messages. It will also support scheduling in threads, improve error handling, and include comprehensive documentation and unit tests. The deliverables include a MongoDB collection for scheduled messages, APIs (chat.scheduleMessage, chat.getScheduledMessages, chat.cancelScheduledMessage), a cron job (sendScheduledMessages), scheduling and viewing/canceling UIs, thread support, error handling, documentation, and tests

Currently, Rocket.Chat Room Header actions follow rigid layout rules, often hiding critical tools in overflow menus and reducing workspace flexibility . This project proposes a configurable layout engine that allows administrators to define action ordering and pinning (featured) via a workspace-level JSON setting. Key deliverables include a dynamic administration UI built with Fuselage, a per-user Feature Preview for progressive rollout, and a comprehensive test suite using Jest, Playwright, and axe to ensure 100% scenario validation and zero accessibility violations .

Playground 2.0 is an updated version of the Rocket.chat's Playground, which is an app development platform for creating custom apps and integrations. The new version includes several features to accelerate the development process and make it more visual. The first feature is the addition of an example section, which includes a collection of templates that can be used as a starting point for app development. This will save time and effort for developers who are new to app development and help them get started quickly. The second feature is the implementation of a project concept where multiple screens can be grouped, saved, and revisited at a later time. This will enable developers to work on different parts of the app separately and easily switch between them. The third feature is the use of the flow concept from https://reactflow.dev. This will allow each project to be represented as a flow, with each screen represented by a block. Actions can be connected to other blocks to visualise the app's lifecycle. This will make the development process more visual and easier to understand. The last feature is the ability to "compile the flow" and run it as a demo. This will allow developers to quickly present a mock or app to validate its usefulness. This will save time and effort for developers who want to get feedback on their app quickly. Overall, Playground 2.0 is an app development platform that makes the development process faster, more visual, and easier to understand. It includes several features that will help developers create custom apps and integrations quickly and efficiently.

GitHub is the largest centralized repository for hosting open source projects and this app will enable the users to perform many GitHub activities right from Rocket.Chat. In this project, I plan on developing the GitHub app for Rocket.Chat which will improve the overall collaboration between developers. This app will enable users to fetch data from a repository, subscribe to various repository events, perform extensive GitHub search queries, open new issues, assign issues to team members, review pull requests and do much more right from Rocket.Chat.

Create a simpler desktop application where there is a simple channels list on a little window and each chat will open in another separated window, making it possible to talk with people without opening a big window. Making the usage of Rocket.chat more seamless. This project will make extensive use of Rocket.Chat's In-App Chat APIs (REST APIs). The application will be deployable on all platforms supported by Electron - Windows, Mac, Linux, and more

This project aims to enhance team productivity within agile environments by using a chatbot-based approach. By developing a chatbot that is customized to meet the needs of agile workflows, teams will be able to streamline communication, task management, and meeting coordination. This project will be implemented via the apps engine in Rocket.chat.

<p>The proposed project gives user the ability to create voice channels that would allow users to quickly enter and leave pre-existing voice calls from Rocket.Chat's own UI, enabling a more practical usage of audio features for team collaboration. Also adding the UI elements and integrating them with an established audio platform to handle calls.</p>

<p>The goal for this project is to integrate chatbot platforms like Dialogflow and RASA with Rocket.Chat.</p> <p>These integrations are built to work with the Livechat module of Rocket.Chat. Livechat is a modern helpdesk application that helps connect a live-agent with a visitor so that the live-agent and answer visitor's queries.</p> <p>With these new Integrations of Dialogflow and Rasa, Rocket.Chat will now allow site visitors to interact with a Bot instead of a live-agent. These Bots would be developed and maintained on Dialogflow and RASA.</p> <p>This is a very common approach which most of the businesses use nowadays, where a visitor would first interact with a Bot. These bots can handle simple interactions like answering FAQ's for a business, to complex interactions like ordering an item. If these bots are not able to answer visitor questions, then the visitor would be transferred automatically to an online live-agent who can address their query.</p>

This integration will bring the support of Figma right into Rocket.Chat using Rocket.Chat Apps. With the help of this plugin, teams can create new comments on Figma files, reply to comments, and get notified on different activities in Figma directly from Rocket.Chat. This will help in improving workflow and extending the functionality of the design system.

The project's objective is to create a Rocket.Chat app that can create multiple bots with the ability to give all of the essential Botpress features inside of all key chat spaces (Direct, Channel, and Omnichannel).

Text embellishment plays a vital role in enhancing communication, fostering engagement, and making written content more impactful. This project aims to create a Rocket.Chat App that enables users to emojify or embellish their text messages using LLMs (large language models) and prompt engineering. The AI-generated text will be presented through an interactive message interface, with action buttons such as send, redo, edit, and copy, visible only to the user. Depending on the action button clicked, the user can send the message to the channel, regenerate the AI-generated message, edit the message, or copy it, respectively. This app adds a new dimension of creativity to enhancing communication within Rocket.Chat.

<p>The project goal is to establish a test infrastructure which supports unit testing, UI testing and Integration testing. Unit tests and UI tests will be written for the android project to test the new features and code changes done in the project before getting merged in the main repository. The goal is to confirm that no new code gets merged unless it passes all the tests that will be run at build time i.e. the new code works as designed and does not cause any regression issues by breaking other functionality/tests. The test infrastructure will be designed in a way that it will tell the developer what method or function or Which piece of code is causing the error or tests to fail. So It will be easy to find which portion of code is causing an error and the developer can fix that. Proper test automation consists of the generation of test coverage reports as it helps in identifying the areas of missing test coverage. So the generation of test reports using Codecov is also an important goal of this project.</p>

Description: Implement the ability to forward messages to another channel, thread, or discussion. This is a high-demand capability that is currently missing in Rocket.Chat. It can significantly improve the user's experience and her/his productivity. The scope of this project will be limited to web applications and not to mobile apps. Deliverables: 1. Being able to forward messages and files to multiple users and rooms 2. Being able to add additional messages on top of forwarded content. 3. Being able to add text formatting in the optional message field. 4. Being able to provide a preview of the message before sharing it. 5. Ability to show “posted from this channel” below the forwarded message

<p>Proposal for integrating <strong>Out of Office</strong> Settings into the Rocket.Chat codebase.</p>