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ALIMS WhatsApp Engine — repository cover stating the stack, described as an internal engine

ALIMS WhatsApp Engine

Project description

Putting an academic record where the researchers already are

The Challenge

ALIMS is a research-record platform, and the researchers it serves do not live in a web dashboard — they live in WhatsApp. A workflow that requires somebody to remember to open a website and log in will be used for a week and then abandoned, however good the website is.

Automating a personal messaging account is a different proposition from using a business API: it carries real risk of the account being restricted, so the engine is built as an internal integration for the owner's workflows rather than a product other people connect their accounts to.

The Solution

Keep the academic record authoritative and make WhatsApp the interface: records are created, checked and verified through a conversation, with the session layer translating between the two. Nothing is stored only in a chat — the conversation is a client, not a database.

Skills and deliverables

Node.jswhatsapp-web.jsPuppeteerExpressDocker

Features delivered

A session layer over WhatsApp Web, with recoverable stateThe academic record kept authoritative; the conversation is a client, not a storeRecord creation and verification performed through a conversationScoped as an internal engine, because automating a personal account is not a product to hand out

The hard part

Session durability and the boundary of what may be automated. A dropped session has to be recoverable without losing state, and the engine stays deliberately on the internal side of the line.

The Impact

A working integration engine connecting the record workflow to WhatsApp, deliberately not shipped as a general product and described as an internal engine wherever it appears.

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Where

Based in Lagos, Nigeria
Working with clients worldwide

Contact

Email : olaleke2004@gmail.com

Time

within 24 hours

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