AI Fruit Classifier Development

@softsolution2000

Hi there I am an experienced AI developer with a strong background in computer vision and deep learning. I have worked extensively with PyTorch and have successfully developed classification models in the past. I am confident in my ability to load and preprocess image data, design and train a CNN for fruit classification, test and fine-tune the model, and build code for accepting new images and outputting predictions. I am dedicated to delivering a trained, tested, and deployable AI model with ready-to-run code. Please go through my profile its 15 years old see the work I did over the years. ---> No Win No Fee means that your satisfaction is my utmost priority. <---- Lets discuss the job details. Moreover, I am willing to start the job and perform tasks without even being hired; it is just to show my commitment to this project. Looking forward to hear from you. Regards Shah

@mannanmaan1425

Hello Lefteris G., I have read the project details and understood the overall requirement. I am Abdul, a seasoned professional with 5 years of experience in Java, Python, Software Architecture, Machine Learning (ML), Image Processing, Docker, Computer Vision, Deep Learning, and AI Development. I have successfully delivered numerous projects in this domain. For this AI Fruit Classifier Development project, I plan to utilize PyTorch to load and preprocess the image dataset, design and train a CNN for classification, and develop code for accepting new images and generating predictions. My portfolio includes successful projects showcasing my expertise in computer vision and deep learning. Please review my portfolio at https://www.freelancer.com/u/mannanmaan1425 and feel free to reach out so we can discuss this project further. Best regards, Abdul

@ahmedmubshar1

Hi, its not a auto bid so i need a chance to discuss the proejct with your, wehter you assign it to some other ), I’ll build it in PyTorch, starting with a tidy dataloader that resizes, normalizes, and augments images so the model holds up under different lighting and angles. I’ll begin with a simple CNN for a baseline, then switch to a lightweight pretrained backbone for higher accuracy if your dataset is limited. Training will include a clear split, early stopping, and class weighting if the data is imbalanced. I’ll report accuracy, per‑class F1, and a confusion matrix so you can see where it succeeds or fails. After tuning, I’ll export the network to TorchScript or ONNX and include a fast inference script that takes a folder or single image and prints the predicted label with confidence. You’ll get clean Python code, comments, and a Dockerfile so it runs the same on your machine or server. If you want to call it from another app, I can add a tiny FastAPI endpoint that accepts uploads and returns JSON. I’ve done similar vision tasks for small product catalogs and fruit datasets. Share any sample images and notes about expected backgrounds or camera types, and I’ll confirm the plan, estimate dataset size needs, and give a short timeline with milestones. Ahmed

@dfordesigners

Hello Lefteris G., I went through your project description and it seems like a perfect fit for my expertise. I’m a Top-Rated Full Stack Developer with over 500+ successful projects, specializing in WordPress, Shopify, custom UI/UX, and high-performance web development. I am an experienced professional with extensive expertise in: ✅ WordPress, Shopify, Laravel, PHP, React.js, Vue.js ✅ MongoDB, MySQL, PostgreSQL ✅ SEO, Payment integrations (PayPal, Stripe, Square) ✅ Pixel-perfect UI/UX and responsive design I ensure secure, fast-loading, and SEO-friendly websites that perform flawlessly across devices. Please come over chat and discuss your requirements in more detail. I also offer: ✅ 1-month free support after delivery ✅ FREE basic SEO setup ✅ Security and backup configuration included Regards, Kausar Parveen Multimedia Graphic Designer & Full-Stack Developer Your Partner in Digital Excellence

@HAZIQ87

I specialize in developing high-accuracy AI image classification models, leveraging techniques like transfer learning with ResNet50 and data augmentation for optimal performance. My previous project involved classifying similar produce with 98% accuracy using TensorFlow and Keras, exceeding client expectations. This experience directly translates to your needs. My approach involves a three-phased process: Firstly, dataset curation and preprocessing using OpenCV for image resizing and augmentation. Secondly, I’ll fine-tune a pre-trained ResNet50 model on your dataset using TensorFlow/Keras, optimizing hyperparameters via techniques such as grid search. Finally, model deployment will be achieved using a lightweight, efficient framework suitable for your target platform. Let's discuss this further! Could you share details regarding the size and quality of your image dataset to ensure the model architecture is perfectly optimized for your specific requirements and expected performance?

@VisiTechnologies

As an AI developer with a strong focus on deep learning algorithms and computer vision, I feel confident in my ability to meet and exceed your expectations for this AI Fruit Classifier project. My expertise in Python, especially in the PyTorch framework, gives me a solid foundation to handle all aspects of building models, including loading and preprocessing image datasets, designing CNNs for robust classification, testing, and model fine-tuning. My knowledge extends well beyond just model creation; I have hands-on experience in deploying AI models successfully. I am aware of the importance of preprocessing for image data, such as resizing and normalization, and understand how a well-optimized model can efficiently process large amounts of data for quick output generation. Furthermore, at VISIT, we have established excellence in multiple IT domains including areas relevant to this project like Web Development, Mobile App Development (React Native, Flutter), Graphic Designing (Adobe Photoshop), Networking & SEO (Google Ads). Choose me and my team at VISIT, and you can count on us for not just a trained and tested fruit classifier but also a deployable solution with all the essential code ready to streamline your fruit identification processes.

@Eddiie420

Hello there, I'm a AI/Computer vision expert. I've rich experience of Python and various DNN frameworks like pytorch, tensorflow and etc. I've read your task carefully. I will work on the project and have it ready in a short time. Looking forward to your response. Best regards.

@denisSolution

Hi client, I'm Denis Redzepovic, an experienced developer with expertise in Python, Software Architecture, Machine Learning (ML), Java, Deep Learning, Image Processing, AI Development, Computer Vision and Docker. I have worked extensively on diverse Python projects, ranging from backend development and automation to data processing and API integrations. My deep understanding of Python’s libraries and frameworks allows me to build efficient, scalable, and maintainable solutions. I pay close attention to code quality and performance to ensure your project runs flawlessly. With my solid experience, I’m confident I can deliver results that exceed your expectations. I focus on writing clean, maintainable, and scalable code because I know the difference between 99% and 100%. If you hire me, I’ll do my best until you’re completely satisfied with the result. Let’s discuss your project details so I can tailor the perfect Python solution for you. Thanks, Denis

@snbhanja

Hi, I can make the pytorch script for fruit classification code with image processing like resize, normalize, augmentation and train an CNN model for classification. Code will be detailed easy to understand and reproduce. I have worked on many deep learning vision projects using pytorch, keras, VGGnet, alexnet and many more. I can mae an deployment script with fast api. Lets connect.

@Vasilchenko

Hello, I’m an AI engineer with strong PyTorch computer-vision experience. I’ll build a clean pipeline to load and preprocess your images (resize/normalize with augmentation), design and train a CNN for apples/bananas/oranges, evaluate and fine-tune model to accept new images and returns predictions with confidence. I can share similar work and start right away, I did many jobs but similar was classification for plant detection model based on image of the plant. I can share my experience on need.

@datacode0023

Hi, yolo model is a good option for your project. I can do your project I have +7 years of experience dealing with machine learning algorithms and worked on multiple projects in this field, For the past years, I've successfully managed various projects for both native and non-native clients, skillfully conveying technical details to those with or without a technical background. My technical approach emphasizes building systems that are designed to evolve. I specialize in developing scalable, future-ready solutions using tools like Docker and Kubernetes, ensuring flexibility and efficiency as needs grow and change over time. Have a nice day

@Khelifa90

I am an experienced AI developer with strong Python, computer vision, and deep learning skills, perfectly aligned with your AI Fruit Classifier project. My approach will encompass efficient data loading and preprocessing (resize, normalize) using PyTorch, designing and training a robust Convolutional Neural Network (CNN) for optimal classification, and thorough testing and fine-tuning to ensure high accuracy. I will deliver a well-documented, deployable AI model along with clear code for accepting new images and generating predictions, fully meeting all specified requirements for identifying apples, bananas, and oranges.

@va01v

Hello Lefteris, I am excited about the opportunity to develop an AI fruit classifier that identifies apples, bananas, and oranges from images. With my extensive experience in computer vision and deep learning, I am well-equipped to handle all aspects of this project, starting from dataset preprocessing to training a robust CNN model using PyTorch. I will ensure the image dataset is resized and normalized effectively to enhance model performance. Following that, I will design and train the convolutional neural network, conduct thorough testing, and fine-tune the model to achieve high accuracy. Additionally, I will create a user-friendly code interface that allows seamless predictions from new images, ensuring the final deliverable is fully deployable. With proven skills in Python and image processing, I am confident in delivering a solution that meets your requirements. I am committed to ensuring your satisfaction with the final product. Thanks, ALESSIO

@sutharRajesh

Hi I will develop a high-accuracy PyTorch-based CNN to identify apples, bananas, and oranges from images. I have proven experience in computer vision, deep learning, and Python, with successful deployments of image classification models in production. Scope: Load, resize, and normalize the dataset for optimal training. Design and train a custom CNN with tuned hyperparameters for robust classification. Evaluate and fine-tune for high precision and recall. Export the trained model for deployment. Build a user-friendly script to process new images and return predictions. You will receive a fully trained, tested, and deployable model with clean, well-documented code, ensuring easy integration and scalability. Regards.

@xupiter2012

Hello Lefteris G., I hope this message finds you well. My name is Mikhail, and I'm reaching out to express my interest in your project titled "AI Fruit Classifier Development" With extensive experience and a strong skill set in Docker, Deep Learning, Image Processing, Python, AI Development, Java, Software Architecture, Machine Learning (ML) and Computer Vision, I am confident in my ability to deliver outstanding results that meet your expectations. I have a proven track record of successfully completing similar projects, and I am eager to bring my expertise to your initiative. Understanding the importance of timely delivery and budget constraints, I am committed to providing efficient solutions without compromising on quality. I prioritize clear communication and collaboration, ensuring that we are aligned throughout the project's duration. I would be thrilled to discuss how I can contribute to your project's success in more detail over chat. Looking forward to the opportunity to work together. Best regards, Mikhail

@danielr325

Hi there, As an multifaceted full stack developer, I have a veritable arsenal of skills and experience tailor-made for your AI Fruit Classifier project. My deep understanding of Python coupled with my extensive knowledge of Docker would be instrumental in swiftly and effectively executing the key tasks at hand. I have spent a significant chunk of my career building and deploying stellar models on platforms requiring high image classification accuracy using PyTorch, which is exactly what you require. In terms of my expertise in Machine Learning (ML), I have successfully built, trained, tested and deployed countless algorithms designed for computer vision projects, which highlights my profound grasp on the subject. Additionally, I am well-versed in image preprocessing, a crucial element for your project's success. From resizing to normalizing the dataset, I can apply optimal techniques to ensure high precision and recall scores on your classifier model. One of my core values lies in being more than just a coder; I aim to be every clients' partner-in-crime to help them achieve unrivaled success. By hiring me for this project, you're not just adding a regular freelancer but someone who really cares about producing top-notch work while keeping you informed every step of the way. In conclusion, I am eager and ready to bring my unique skill set and work ethic to your project for an outcome that will make us both proud. Let's connect and get things rolling! Thanks! Daniel

@albertc1996

Hi — quick question: will you be providing the full labeled dataset for apples, bananas, and oranges, or should I help collect/annotate it? Plan: Load and preprocess dataset (resize, normalize) using PyTorch + torchvision. Design and train a CNN (or fine-tune a pretrained model for higher accuracy). Test, tune hyperparameters, and export the best model. Build a simple inference script to load new images and output predictions. Deliver ready-to-run code + trained model files. About me: I’m a computer vision engineer with 7+ years of Python experience, skilled in PyTorch, model training, and deployment. I’ve built similar classification models that were production-ready and easy to run. Can you share a sample image set so I can estimate the training time and accuracy target?

@HiraMahmood4072

Hello, With over 7 years of experience in Machine Learning (ML) and Python, I have carefully reviewed your requirement for the AI Fruit Classifier Development project. To accomplish this task, I will utilize PyTorch to develop a Convolutional Neural Network (CNN) model. Initially, I will load and preprocess the image dataset by resizing and normalizing the images. The CNN will be designed and trained for accurate classification of apples, bananas, and oranges. Post-training, rigorous testing and fine-tuning will be conducted to ensure optimal performance. The final model will be exported and the code will be developed to accept new images and provide accurate predictions. My expertise in computer vision, deep learning, and Python programming will be instrumental in delivering a robust and deployable AI model that meets your requirements. I would like to discuss this project further with you. Please feel free to connect with me for a detailed conversation. Best regards.

@eduard141

❤️ Hello I just read your project requirements carefully. Building a PyTorch-based CNN model to classify apples, bananas, and oranges from images is well within my expertise. I have strong experience in Python, computer vision, and deep learning, including image preprocessing, model training, and deployment. I will design and train a custom CNN, handle dataset resizing and normalization, fine-tune for accuracy, and provide a ready-to-use prediction script for new images. The solution will be clean, efficient, and well-documented for ease of use. Feel free to message me to discuss your project details — I can start immediately and deliver a trained, tested, and deployable model quickly. Looking forward to your response. Best regards, Eduard M