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<p>Rocket.Chat has currently some Javascript clients, including Meteor and React Native. Although some of these clients have their own library to abstract and unify REST and WebSocket calls, the main goal of the project is to implement an SDK that can be used on any Javascript client providing lots of benefits for the community and developers who wants to use the Rocket.Chat API.</p>

<p>This project aims to enable all the essential functionalities of Rocket.Chat to be accessed through any Alexa and Google Assistant device by creating and deploying a Rocket.Chat Google Action and an Alexa Skill to their respective stores.</p> <p>The main goals and improvements to be made for this term will be:</p> <ol> <li>Adding more functionalities to the backend to make the skill/action more practically usable and efficient.</li> <li>Improve the voice interface of the skill/action.</li> <li>Adding more functionalities to skill and action.</li> <li>Resolving existing bugs.</li> <li>Making it consistent across all languages.</li> <li>Finally deploying the skill/action to store.</li> </ol>

<p>Enabling Rocket.Chat server administrator to use a NextCloud/ownCloud instance for storage of upload. Integrate NextCloud/ownCloud to Rocket.Chat and within Rocket.Chat client user interface to allow access to the contents of a user’s NextCloud/ownCloud instance.</p>

The News Aggregation Rocket.Chat App is designed to deliver the latest news from various sources directly within the Rocket.Chat platform. This project aims to create an application that aggregates news from top websites like TechCrunch and BBC News, utilizing APIs or RSS feeds to collect data. The app will present news in a user-friendly format with complete configurability of sources and categories, ensuring users can customize their news feed according to their preferences. The project will implement logic to collect news, categorize it, and present it effectively within the platform. By enhancing the Rocket.Chat ecosystem, this app aims to offer users a seamless way to stay updated with curated news content without leaving the chat environment.

Build a mobile-first catalog of active scholarships, GSoC roadmaps, and interview preparation materials.

<p>Rocket.Chat has a remarkable internationalization effort. There are dozens of translation files across several apps, many of them with over 4000 translation strings. However, there's still a long way to go - some strings still lack translation, others need to be removed, etc. Currently, the translation process is entirely manual, making it even harder to manage that much information. To speed up the internationalization process, our goal is to build a tool that makes translators live's easier. We want to create a CLI app that helps in the translation process, answering questions like:</p> <ul> <li>Which strings weren't translated yet? </li> <li>Which strings are not mentioned in the codebase anymore? </li> <li>What is the translation progress for a given language?</li> </ul> <p>We want to make the actual translating easier, providing an interactive interface to add or remove translations. Our goal is to raise Rocket.Chat's translation standards - to ensure these standards are met, we'll build a CI scripts that checks for translation string usage in new contributions, ensuring every new translation string added to the codebase is listed in the translation files.</p>

This project aims to deliver a Rocket.Chat App that uses generative AI to summarize any conversations across threads, channels, and DMs. For example, a user can say, "summarize my unread messages yesterday in the #engineering channel". The users can ask AI any questions regarding the messages, and subscribe to personal digests that summarize selected channels on a recurring schedule. The AI summarizer will boost the productivity of Rocket.Chat users with faster information digest, and improve community engagement by keeping everyone on the same page.

<p>The projects aims at incorporating Firebase Analytics and Crashlytics into Oppia's Android application to send usage data to a central location while ensuring that no sensitive information leaves the phone. It also aims at offline storage of event and crash stats in case of network connectivity issues. The implementation of such features will lead to a constructive and insightful decision making process and therefore promise a better end-user experience.</p>

<p>Currently, there are no social aspects to channels in Rocket.Chat servers. Many public channels aren't visible enough for the users to view and join. To join a specific channel, they should either know its link or the exact name to search it in the Directory. Also, every single day Rocket.Chat servers have many people coming into their channels, and they are all lost. They do not realize the actual purpose of a channel. So, there can be a better way of letting the new users know what is going on within the server or even within a channel. This project aims to solve the above issue by introducing a new feature called Discovery!</p>

AI Newsletter Generator and Publisher, aims to solve the challenge of creating engaging and informative newsletters for special interest groups; marketing and communications by the Rocket.Chat users communities. By developing this AI-powered app, users will be able to effortlessly produce well-crafted newsletters from raw content using advanced language models. The app seamlessly integrates with Rocket.Chat, allowing users to deliver newsletters.

This project aims to automate the creation of ZIM files for Wikipedia selections on WP1 by allowing users to schedule updates at regular intervals (e.g., 1, 3, 6, or 12 months). Users provide an email address to receive notifications once their updated ZIM file is ready, and the system will automatically remove unclaimed files.

This proposal aims to enhance Rocket.Chat’s administrative capabilities by enabling an optional override system that allows administrators to manage private teams and channels without being members. It includes configurable admin settings, permission override logic, audit logging, and user notifications to balance administrative control with user privacy. Core features include adding/removing users, modifying roles, and managing private team channels directly from the admin panel. Deliverables include backend permission logic updates, admin panel UI components, audit log infrastructure, notification settings, and full technical documentation.

<p>Currently, scrapers are used to generate ZIM files and contain code that is difficult to maintain. A new library called scraperlib is being developed to facilitate automated testing and code coverage of shareable code. The task is to rationalize the usage and maintenance of those by limiting them to their specificities only and move any reusable logic into the well-tested scraperlib.</p>

<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>

The goal of this project is to implement a feature where users can share multiple files in a single message, currently user can send only a single file at a time which is time-consuming process by implementing multiple file sharing in one single message would improve the user's experience and her/his productivity by saving time. By adding this feature it promotes smoother collaboration and enhances communication within organizations. DELIVERABLES :- 1. Being able to share multiple files in one message in channels, threads or rooms. 2. Users Can also add Description to the File which he/she is sharing. 3. Can View Files selected with name and size of the file. 4. Multiple files can be shared and can also delete if wrongly shared . 5. Users can also add the file if they forgot to add it before.

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.

Open Rocket.Chat communities face a growing problem where new accounts join, flood multiple public channels with spam, and disappear before any moderator can respond. Current moderation is entirely reactive and manual, which is simply too slow for coordinated spam campaigns. This project builds a proactive, human-validated anti-spam system that monitors new users during their first 6 to 10 weeks and responds through a graduated restriction system called Moderation Levels, where every action is proportional, reversible, and requires admin approval before anything permanent happens. The system is built as a Rocket.Chat App on the Apps Engine with a seven gate detection pipeline running entirely in memory for speed. Gates catch exact duplicates via hash matching, polymorphic spam via cosine similarity, cross channel floods, rate flooding, rapid room spread, and phishing link campaigns. A four tier Moderation Level system escalates naturally with repeat behavior, from a friendly DM warning through posting cool downs to a permanent block that only lifts when an admin vouches for the user. The admin control layer includes a live dashboard, a full slash command suite, and AI powered on demand summaries so admins have everything they need to make confident moderation decisions without opening a single log file. Deliverables include a fully functional installable Rocket.Chat App covering the complete detection pipeline, a configurable Moderation Level system, a behavioral scoring engine, enriched admin notifications with message history, AI powered user analysis commands, a paginated admin dashboard built for scale, daily scheduled reporting, and complete documentation covering architecture, configuration, and known limitations.

<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>

Rocket.Chat's current message parser uses PeggyJS, which adds bundle size overhead and performance bottlenecks. This project replaces it with a fully hand-written TypeScript recursive-descent parser that produces an identical AST, passes all existing tests, and ships with zero external dependencies. Deliverables include a complete lexer and parser implementation, 100% test suite parity, property-based fuzz testing with fast-check, and a benchmark suite demonstrating measurable performance improvements and reduced bundle size.

Build a dashboard that tracks contributor activity across GitHub repos — commits, PRs, issues — and gamifies the experience with badges and streaks.

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 .

This project adds a combinator builder to WP1 that lets users combine multiple existing selection builders into one result. Instead of using just one method, users can mix different builders using simple operations like union, intersection and difference. The goal is to make it easier to create flexible and powerful article selections while keeping the interface simple and easy to use. The project includes designing the system, building a clear UI, and making sure it works efficiently.

<p>This project aims to implement a special type of channel/room in Rocket Chat. The messages in this channel would vanish after a certain amount of time. In simple words, there would be a setting that decides after how much time messages would be deleted from the channel. Neither deleted messages can’t be retrieved back nor the feature can be deactivated once the channel has been created. The room would also vanish after its destruction time.</p>