AI-Powered Invoice and Receipt Manager

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I'm in need of an experienced ML developer who can bring my vision to life: an AI-powered application to process incoming invoices and receipts.

Key project specifications:

- Implement machine learning algorithms to process and manage receipts and invoices

- Be able to suggest possible ML algorithms (such as Neural networks, Decision trees, or Support vector machines) that might be best suited for this project

Required skills and experience:

- Proven experience in ML and AI

- Familiarity with a broad range of ML algorithms

- Strong portfolio demonstrating past work in similar projects

While applying, keep in mind:

- Detailed project proposals

- Demonstration of past work

- Qualifications and experience in the sector



We require the development of an application that uses machine learning for incoming invoices and receipts. Combining regression, classification, and clustering, the output is to establish a repository of purchases and create predictive analytics for future transactions.

All invoices and receipts are received via email and the transactions need to be saved into the database.

Scalability is integral to the design, as we expect to process over 100,000 transactions per day.

To ensure you have read this scope, please include the word 'Kitty' in your bid, to be considered.


We originally created this project in Laravel PHP, and there is an existing work in progress to be able to view the expected output. In the current version, a ‘template’ was created for each merchant. Incoming emails were parsed and the content was grouped into the following sections:

Merchant Details: General information including Address, Store number, and any contact information.

Transaction Details: Transaction number, time, date

Product/ Service Details: Items that were purchased as part of the transaction.

Payment Details: Method of Payment, Reference number, and Amounts

The limitations of the current solution was that it required constant updates on Merchant templates, and was time intensive with regards to creating templates per merchant.

We began working on the Machine Learning project earlier this year, and have a partial work in progress but the developer had to terminate the project due to illness. We can provide the files.

Machine Learning Initiative

Our decision to rebuild the project using Machine Learning, is based on the important goal of scalability and expediting our schedule to the beta version of our application. Using ML, our expectation is for incoming invoices / receipts to be quickly allocated to the correct tables in the database including categorization. We also expect the application to identify the products/services for the purpose of building a universal product/service database.

Baseline Datasets

We can provide several different items to serve as baseline data sets for training the AI. These are:

Our current database from parsed invoices

Sample emails from multiple merchants and point of sale applications

Verilog / VHDL Algoritmi Java Python tekniikka

Projektin tunnus: #37964427

Tietoa projektista

50 ehdotusta Etäprojekti Aktiivinen viime viikolla

50 freelanceria on tarjonnut keskimäärin $633 tähän työhön


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