Re-advertisement of Consultancy Service - Machine Learning and Software developer Consultant

TechnoServe is looking for a firm who is able to do end to end model dev and

integration with the existing app. The project involves image annotation, machine learning model development, model conversion for mobile deployment, and the integration to the existing mobile application. Primary activities include, but are not limited to:

1. Image Annotation:

Annotate a dataset of at least 1000 coffee cherry images with bounding boxes

and labels for ripe, underripe, overripe categories.

Follow annotation guidelines to ensure accuracy and consistency.

Provide a sample of annotated images for review.

2. Machine Learning Model Development:

Develop a machine learning model for coffee cherry ripeness prediction using the

annotated dataset.

Recommend an appropriate architecture (e.g., Convolutional Neural Network

(CNN)) based on the color based classification task.

Train the model on the annotated dataset, using a suitable deep learning

framework (e.g., PyTorch).

Provide options for data augmentation and ensure robust model training (e.g,.

Generative Adversarial Networks (GAN))

3. Data Preparation:

Split the dataset into training, validation, and testing sets.

Provide details on data augmentation techniques applied during training.

4. Model Conversion for Mobile:

Convert the trained machine learning model to a format suitable for mobile

deployment (e.g., TensorFlow Lite, ONNX).

Optimize the model for size and performance on mobile devices, because the

application works offline and must be light.

5. Exiting Mobile App Integration:

Integrate the converted machine learning model into the mobile app for real-time prediction. We already have an android mobile application built using Kotlin and uses Firebase as its database.

Include features for user feedback and improvement of predictions over time.

Newly user images should be used to keep improving the accuracy of the model

6. Deployment and Testing:

Deploy the mobile application on Android devices for testing.

Conduct thorough testing to ensure the accuracy and performance of the cherry ripeness prediction.

Provide documentation on testing procedures and results.

7. Documentation and Knowledge Transfer:

Document the entire solution, including model architecture, training process,

codebase, and mobile app functionality.

Provide knowledge transfer sessions for our team to ensure understanding and

maintenance capability.

8. Timeline and Milestones:

Define a project timeline with key milestones, including image annotation

completion, model training, mobile app integration, and testing.

Include time for reviews, feedback, and potential iterations.

The firm should have previous experience in doing similar work (with proven portfolio):

Software development with the focus on mobile application development, and extensive experience in building, training, validating and testing machine learning models (deep learning, object detection, etc), plus dataset labeling and cleaning/preparation. The firm employees should have the following profile.

Bachelors degree in computer science or related field, with 3 years of experience in software development with the focus on mobile app dev and machine learning, or a Masters degree in Information Technology, computer

science, Machine Learning or related field, with 1 year of experience.

Full stack developer with experience in systems development, implementation,

operations, maintenance, and support activities for software systems.

Experience working with Native Android development using Kotlin, Java, and

Flutter.

Experience with iOS mobile application development using Swift is an added

advantage

Web application development using Django/Python and/or React

Experience using Pytorch is preferred

Machine Learning skills, focusing on Deep Learning Algorithms such as

Convolutional Neural Networks (CNN), Generative Adversarial Networks (GAN), object detection

Experience using Google Cloud Platform and Amazon Web Services is preferred

Experience working in an agile environment is preferred.

Strong communication skills are required.

Analytical thinking skills.