endorsedCompleted

AI-powered PDF Processing and Bookmarking System

Services Covered:

Custom Software Development • AI and Machine Learning

Industry

Software Development

Duration

6 months

Budget

10K - 49K

Start Date

1 January 2022

Team Size

6-10 Employees

Engagement Model

Onshore

Project Capability Score (PCS)

73/100

Good

Project Capability Score (PCS) estimates how capable Binariks Inc. is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Egghead Logic, Inc.

Medford, United States of America

Project Summary

An app development company hired Binariks to build an AI system to process PDFs and provide bookmarking and accuracy scoring to speed document workflows. Binariks supported the project from requirements and design through architecture and development, using Angular, .NET, and Python. The client praised the team's quality, ongoing advice, and established communication and delivery processes.

Key Challenges

Develop the project from scratch
Provide design and gather requirements
Build the project's architecture

Project Deliverables

AI-powered PDF processing system with bookmarking
Front-end implementation (Angular)
Back-end implementation (.NET)
AI models and components in Python
Requirements and architecture documentation
MVP supporting 3-4 users

Project Solution

Binariks was engaged to develop the system from scratch, handling design, requirements gathering, architecture, and full-stack development. The vendor implemented the frontend in Angular, backend services in .NET, and the AI components in Python. They supported the client with requirement workshops, sprint planning, daily standups, JIRA ticket management, weekly status reports, and monthly management calls.

Project Outcome

Delivered design, requirements and project architecture across each stage
Established effective workflow with daily standups, sprint planning, JIRA ticketing, weekly status reports and monthly management calls
The client reported high-quality contributions from skilled developers and continuous valuable advice

Platforms

AI/ML Platform

Tech Stack

Angular
.NET
Python

Client Endorsement

Overall Review Rating

4.88

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“The Binariks team is engaged in the project, providing valuable advice, ideas, and suggestions at each stage. The team’s consistently high level of quality and dedication to the work impresses the client.”
Anonymous
Founder & President
Date: 05/31/2022