Request for Proposal (RFP) for AI Solution for Arabic Handwriting OCR

Introduction and Background Our client is seeking proposals from qualified machine learning experts to develop a state-of-the-art artificial intelligence (AI) solution for Optical Character Recognition (OCR) of Arabic handwriting. Our organization has tested available open-source solutions, but the results were unsatisfactory, with accuracy rates below 20%. Our goal is to achieve an accuracy rate of 90-95%. We invite qualified vendors to submit proposals detailing their approach, experience, and capabilities in delivering a high-quality AI-driven OCR solution. It is important to note that we do not have any available datasets for this project, and vendors are expected to procure them as part of their proposed solution. Project Description and Scope The scope of this project includes the development, testing, and implementation of an AI-based OCR solution to accurately detect and recognize Arabic handwritten text. The project will involve: a. Procuring diverse datasets of Arabic handwriting, including various styles, sizes, and levels of legibility. b. Developing a machine learning model capable of recognizing Arabic handwritten text with a minimum accuracy rate of 90-95%. c. Training the model on the procured datasets of Arabic handwriting. d. Developing a user-friendly interface to facilitate the input and processing of handwritten Arabic text. e. Testing the developed solution with real-world samples to ensure it meets the desired performance requirements. f. Providing technical support, maintenance, and updates to the solution for a specified period. Vendor Qualifications Interested vendors should demonstrate: a. A proven track record in developing AI-based OCR solutions or similar machine-learning projects. b. Experience in procuring and working with Arabic language datasets, and an understanding of the unique challenges associated with Arabic handwriting recognition. c. A team of skilled machine learning experts, including researchers, engineers, and software developers. d. Strong communication and project management skills, including the ability to work collaboratively with our organization throughout the project's duration. Proposal Submission Requirements Proposals should include: a. A detailed description of the proposed approach to developing the AI-driven Arabic handwriting OCR solution, including procuring the required datasets. b. Information on the vendor's experience in machine learning, specifically in OCR, Arabic language recognition, and dataset procurement. c. A list of key personnel who will be involved in the project, including their qualifications, experience, and relevant expertise. d. A project timeline, including milestones and estimated completion dates, emphasizing the speed of delivery. e. A detailed budget breakdown, including costs for dataset procurement, development, testing, implementation, and ongoing support. f. References from previous clients who have used the vendor's AI-based OCR or related solutions. Evaluation Criteria Proposals will be evaluated based on the following criteria: a. Technical expertise and experience in machine learning, OCR, Arabic language recognition, and dataset procurement. b. Quality and feasibility of the proposed approach. c. Vendor's ability to meet the desired accuracy rate of 90-95%. d. Speed of delivery and ability to meet project deadlines. e. Cost-effectiveness of the proposal.