Keras cnn jobs
I'm in need of a professional who can create a 3D Convolutional Neural Network (CNN) model diagram for a brain tumor classification project. I will share file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification.
I need a visual representation of the system architecture for my .ipynb file. This will be based on my approach using 3D CNN and Transfer Learning for Brain Tumor Classification. The main purpose of this diagram is to provide an overview of the system architecture, similar to how it is in research papers. It should be clear, detailed and well-annotated to help me understand the flow of data and the various components involved in the process. Key Requirements: - The diagram should be in PNG format. - Include detailed annotations to help me understand the components, their interactions and the flow of data in the system. - Proven experience in creating architecture diagrams, especially in the context of machine learning or deep learning projects, would be highly beneficial.
...the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimizatio...
...the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimizatio...
...testing a Convolutional Neural Network (CNN). Specific context about the desired classification problem and the type of images for training/testing are yet to be determined and will be shared as the project goes on. The deliverable of your task will be a working Python code able to solve a given image classification problem, producing corresponding output, which will be discussed further after kickoff. For this task, proficiency in Python and familiarity with machine learning and deep learning frameworks are critical, specifically in areas related to: - Python, with emphasis on libraries for data analysis and manipulation (such as Pandas, Numpy), data visualization (like Matplotlib, Seaborn), and machine learning (including Scikit-Learn, TensorFlow, Keras). - Convolutio...
...the user - Change the voice of music provided by the user to the voice provided by the user Skills expected of you 1. Strong background in machine learning, deep learning, and neural networks. 2. Experience with audio signal processing and familiarity with audio data preprocessing techniques. 3. Proficiency in Python and experience with machine learning libraries such as TensorFlow, PyTorch, and Keras. 4. Knowledge of music theory and composition is a plus. 5. Experience with voice synthesis technologies such as WaveNet, Tacotron, or similar frameworks. 6. Familiarity with data augmentation libraries such as SpecAugment or Audiomentations. 7. Ability to work with datasets and experience with data preprocessing libraries like Librosa or SciPy. 8. Experience with model optimizatio...
if anyone is ready to provide me a work for this title : Panoramic Image Stitching Using CNN by Matlab or Python, pls contact me, we can discuss more.
I'm seeking...project. More specifically, I'm currently using PyCharm and a variety of ML frameworks or libraries to test a range of custom signals. The ideal candidate for this project should possess the following skills and experience: - Proficiency in PyCharm IDE for Python - Familiarity with various machine learning frameworks or libraries, including but not limited to TensorFlow, PyTorch, Scikit-learn, Keras, MXNet, and Caffe - Experience in integrating different ML stacks The top priority is to have this project completed as soon as possible. Be prepared to share your approach and timeline for project completion during our discussions. Your adaptability and ability to handle tight deadlines will be highly valued in this project. Let's test the boundaries of ...
...for a proficient Python developer who can help troubleshoot and improve my machine learning model. My model, which utilizes CNN and BiLSTM, yields inconsistent results across different datasets and experiences issues with overfitting. Here are some more details about the project: - I have around 1,500 samples to use. - The data in unbalanced dataset. - The project could involve revising the model structure, tweaking parameters, or introducing regularization or dropout methods. The freelancers applying should possess the following skills: - Extensive Python knowledge - Experience working with machine learning, deep learning algorithms, and data science particularly CNN and BiLSTM - Understanding of overfitting and the methods to prevent it Just a heads up. The performa...
We're seeking Python developers t...edit the generated LaTeX code if modifications are needed. They can then download the result as a docx, doc, or LaTeX file. Additionally, there should be a copy-to-clipboard icon for easy use. - An easy-to-understand UI will be appreciated. Key Skills: - Proficiency in Python programming language. - Experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, or Keras. - Strong understanding of computer vision techniques and OCR algorithms. - Web development skills using frameworks like Flask or Django or Streamlit. - Familiarity with image processing libraries such as OpenCV. - Excellent problem-solving and communication skills. If you have already worked on similar task. please attach work samples in your ...
I have a back end code for a project of phishing website detection…it is a CNN vs LSTM comparative study …but I want a person who can develop a UI for that project as well as who can explain that code to us
I require a deep learning professional to write a well-researched paper on traffic prediction in seaports. The specific domains need not be confined; I am open to any, including CNN-LSTM, GRU, and RNN, with perhaps an emphasis on utilization to improve efficiency. The final paper should be suitable for publication in a SCOPUS or ABDC journal. I need this task completed within a month. Ideal Skills & Experience: • Expertise in various Deep Learning domains • Proven record in research paper writing • Experience with traffic management or port logistics would be a bonus • Ability to deliver the project within a strict timeframe • Knowledge of SCOPUS and ABDC journal requirements for research articles
...experienced Python - TensorFlow/PyTorch developer to build a Deep Learning model for brain tumor classification. You should be adept with the following tools and libraries: The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of transfer learning ...
I am looking for a proficient Python developer extensively experienced in Deep Learning, particularly CNN (Convolutional Neural Network), for a critical cyber security project. Your task will be to develop a system capable of efficiently identifying network intrusions. Specifically: - The system will focus on the detection of anomalies within the realm of cyber security. - User behavior data will serve as the primary source of analysis in the effort to pinpoint these intrusions. - The detection algorithm must be highly accurate, maintaining an efficiency level above 95%. Ideal candidates must have: - Proven experience with Python and CNN Deep Learning algorithms. - Previous work on cyber security systems or similar projects is a major plus. - Firm understanding of user ...
I'm in need of an expert in Machine Learning with a strong proficiency in Python. The successful candidate will be assisting me with various stages of my project. Key Tasks: - Data Preprocessing: You will be tasked with cleaning, transforming, and preparing the raw data for analysis. - Mo... - Prior experience with data preprocessing, model development, and model evaluation. - Excellent problem-solving and analytical skills. - Strong communication skills to effectively communicate complex concepts. - The ability to understand business objectives and translate them into technical requirements for ML models. - Familiarity with libraries and frameworks like TensorFlow, scikit-learn, Keras, etc. Please provide examples of previous work in the field of Machine Learning and Python...
...expert to further optimize my existing CNN model that currently has an accuracy rate of over 80%. Despite the high performance, I believe there's room for improvement. Required Skills & Experience: * Extensive experience with Convolutional Neural Networks (CNNs) * Proficiency with text data processing * Track record of improving the accuracy of machine learning models Job Scope: * Review the current model and identify potential areas for improvement * Implement strategies to increase training speed and minimize overfitting * Improve the model's overall accuracy * Maintain detailed documentation on the steps taken and their impacts Despite the model's high initial accuracy, I'm ambitious about reaching even higher stats. If you're a guru at impro...
...developer who is keen on completing and elevating an existing project to new levels of efficiency and user engagement. Your expertise will help us deliver a top-tier product to our clients! SKILLSET 1. **Advanced Programming Skills**: Proficiency in programming languages commonly used in AI development, such as Python, Java, or C++. Knowledge of frameworks and libraries like TensorFlow, PyTorch, or Keras can also be crucial for AI and machine learning implementations. 2. **Experience with Natural Language Processing (NLP)**: Since the application involves analyzing and processing resumes and cover letters, expertise in NLP is essential. This includes familiarity with text classification, sentiment analysis, and machine learning models that handle language data. 3. **Software...
I need the FADNet CNN to be trained, optimized (purged), quantized and compiled to be used on the Xilinx DPU. You should know about NN, PyTorch, Python and the Vitis AI tools Tasks to do: - Train the NN - Optimize (prune) - Quantize - Compile
I need an experienced professional who can use Convolutional Neural Networks (CNN) to classify a dataset consisting of user-generated videos. Since this project involves working with user-generated content, the ideal candidate should have prior experience or familiarity with similar work. Key Responsibilities: - Improve search accuracy by effectively classifying the video dataset - Enhance recommendation systems - Analyze user behavior based on classification results Applicants should pay special attention to: - Providing proof of experience in using CNN for video classification tasks - Describing previous successes in improving search accuracy and enhancing recommendation systems, especially with user-generated content. With your expertise, we can properly structure o...
...Network (CNN) model built in Python that processes audio data preprocessed using Mel-frequency cepstral coefficients (MFCCs). The model currently delivers high accuracy results, but there's an issue - It consistently provides the same answer when applied to different inputs. I need an expert to investigate and resolve this issue, ensuring that the model provides accurate and varied predictions for different audio inputs. Key Requirements: - Review and diagnose the current CNN model. - Identify why the model outputs the same result for different inputs. - Implement necessary modifications to rectify the issue. - Ensure the model maintains its high accuracy while providing diverse predictions for different audio inputs. Ideal Skills and Experience: - Proficiency in Py...
...machine learning engineer with a background in medical image analysis to help me develop a system capable of identifying different types of brain tumors from MRI images. The primary objective of this project is to create a reliable classification system that can accurately differentiate between brain tumors (types). The project will involve the development of a 3D convolutional neural network (CNN) along with transfer learning that can process the provided MRI images effectively. Key requirements for this project include: - Extensive experience in machine learning, particularly with CNNs - Proficiency with medical image analysis, particularly with MRI images - Previous experience with brain tumor classification is highly desirable - Strong understanding of transfer learning te...
TASK 1 Create an object detection model using R-CNN, Yolo, or SSD. Since there's no small dataset such as MNIST and Fashion-MNIST in object detection, you can use the dataset from the d2l/notebooks/mxnet/chapter_computer-vision/ notebook. The dataset has 1000 banana images with different rotations and sizes placed randomly on some background images. 1.A Obtain the dataset. Working on a small dataset such as the one from the would allow you to train and test different models without taking hours/days to finish. Go to the notebook and obtain the dataset. 1.B Build an object detector. • using YOLO, and SSD. (need two separate notebooks) • Using the dataset, train, or fine-tune (a pre-trained model) to create an object detector
Course 1: Statistics, Probability and SQL Course 2: Machine Learning and Predictive models with Python Course 3: Apache Spark: ML on Big Data Course 4: Deep Learning and Neural Networks Course 5: Gen AI : GPT, ChatGPT, Transformers, and SAN Network Course 6: Developing with GPT using chatGPT with OpenAI API Course 7: LLM Intuition and Implementation Course 8: Artificial Neural Networks and CNN Course 9: Model Deployment : AWS, S3, and SageMaker Capstone Projects: Class time = 6 am IST from tuesday to saturday
...expertise in deep learning, particularly Convolutional Neural Networks (CNN), and experience with popular frameworks like Tensorflow and Keras. The project will revolve around object detection using images as the primary data source. Key Requirements: - Object Detection: The primary goal of this project is to accurately detect objects in images. It is important that the model is able to identify objects of a specific size, so having experience in this area will be crucial. - Deep Learning Expertise: You should be well-versed in deep learning concepts, particularly CNNs. This will be essential in developing an effective object detection model. - Framework Proficiency: Experience working with frameworks like Tensorflow and Keras is a must. You should be able to lev...
I'm seeking a Python and deep learning expert to help me successfully implement various optical flow CNNs on my Mac m3 computer. I would specifically like assistance with the PWC-Net, SpyNet, and FlowNetLight models, in installation and setup. Key Requirements: - Proficient in Python and deep learning frameworks - Experience with optical flow CNNs - Ability to work on a Mac m3 computer The ideal candidate will be able to explain the processes in a clear and concise manner, as I am a beginner with Python and deep learning frameworks. Your help in this project will be greatly appreciated.
I'm working on a project that involves evaluating image quality using machine learning on an FPGA. Key Requirements: - The primary goal of this project i...primary goal of this project is to achieve highly accurate results in image quality. - The images I'll be evaluating are mostly photographs. - I'm looking to implement a Convolutional Neural Network (CNN) model for this project. Key Skills/Experience needed: - Proficiency with FPGA development, particularly with VIVADO. - Strong background in image processing and machine learning. - Previous experience with implementing CNN models on FPGA for image quality evaluations would be a great plus. If you're confident in your FPGA skills, have a background in image processing and ML, and have worked with ...
I'm in need of an expert in FPGA and machine learning with a focus on Convolutional Neural Network (CNN) and YOLO algorithms. The primary goal of this project is to evaluate image quality with the maximum possible accuracy. Some key details: - FPGA: Experience with VIVADO is highly preferred. - Machine Learning: A strong background in implementing CNN and YOLO algorithms is essential. - Image Size: The desired input image size is 416x416. The project aims to achieve high accuracy in image quality evaluation through these machine learning algorithms on the FPGA. The freelancer is expected to work closely with me to ensure the project meets the desired outcomes.
Project Quote in AUD please check
...convolutional neural networks (CNN) to create a three experiments: First experiment Create CNN models that recognize specific objects in bachelor thesis: - Headings – first level heading, subheading and third level heading - Headings text font - Headings text size - Line spacing before and after heading - Other elements in two groups: -- Other elements; -- Footnote references; - Number in front of the heading Each object will be recognised by separated CNN model. Each CNN model will have one class – it will be able to recognise only one object. Second experiment There will be only one CNN model with class for each object from first experiment. Third experiment Create CNN model that can recognize formatting errors in headings. ...
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
I'm in need of a deep learning expert to develop a safet...specific platform compatibility is required at this stage. The system's primary goal is to ensure the safety of workers by accurately identifying if they are wearing safety helmets or not. While there are no explicit freelancer prerequisites for past work and detailed project proposals, expertise in the following areas would enhance your application: - Deep learning frameworks (like TensorFlow, Keras, PyTorch, etc.) - Computer vision - Image and video processing Understanding of workplace safety protocols would be a plus. Your task will involve developing the algorithm and training it with data sets to ensure maximum accuracy and efficiency in the real-world environment. Please apply if you can uphold the objecti...
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
I own a YOLOv8 model formatted in keras-cv and need a skilled professional to convert it into the latest version of TensorFlow Lite. The crucial function of my model is its real-time object detection capabilities. The objective is to utilize this model for object detection on a Raspberry Pi, and this functionality must be maintained post-conversion. Ideal Skills and Experience: - Proficiency in TensorFlow Lite - Experience in YOLOv8 model - Familiarity with keras-cv format - Experience working with Raspberry Pi - Proven track record in object detection models conversion.
...currently using TensorFlow for my machine learning model. I believe the model can be significantly improved by implementing a different algorithm. In particular, I'd like to enhance the model using "Deforming CNN". Key Points: - Current ML framework: TensorFlow - Requirement for improvement: Implementing a different algorithm - Desired algorithm: Deforming CNN Ideal skills for this project: - Proficiency in TensorFlow - Understanding of Convolutional Neural Networks (CNN) - Experience with implementing and optimizing ML algorithms - Google Colab Your task would be to integrate the Deforming CNN algorithm into the existing model, troubleshoot any issues, and ensure it enhances the model's accuracy. The goal is to significantly improve th...
I'm searching for a Python developer knowledgeable in numerical data analysis. The key task of this project will be developing a Python script for classifying images. This script will then need to perform advanced data visualization tasks on numeric data. Task would be to analyze a dataset containing different types of fish breeds Images and is required to classify them using CNN based on their location and chemical compositions in various parts of an ocean/location Ideal Skills: - Excellent grasp of Python programming - Strong understanding of image classification techniques - Proficiency in numerical data analysis - Expertise in data visualization methodologies Previous experience with projects involving Python, image classification and data visualization is highly pre...
I'm seeking a skilled machine learning expert who can train a Convolutional Neural Network (CNN) for object detection, specifically tennis balls. I have my own dataset. This dataset is poor so I will need a skilled expert. I need detections on at least 50% of the frames. Key Responsibilities: - Train the CNN model on object (tennis ball) detection - Fine-tune the model for higher accuracy - Provide the trained CNN Model's code and implementation details
I’m seeking a proficient developer with experience in open source model registration on Azure ML. The task involves using a multimodel RAG to provide API's, designing verification and validation for the model, as well as working with the front and backend development team. Key Requirements are: - Expertise in Azure ML and open source frameworks. While TensorFlow, PyTorch, and Keras are all options, preference will be given to freelancers who are versatile and can recommend the best approach based on their experience. - Past work. Please provide examples of previous projects involving Azure ML and API implementation, especially those which required collaboration with a larger development team. - Collaboration capabilities. Direct collaboration with the front and ba...
I'm looking to develop a real-time Arabic Sign Lan...educational resource, specifically to cater to the needs of the general public. - **Deployment Platform:** The final model will not be deployed on any specific platform but will be available for training and inference in a .ipynb notebook. Ideal Freelancer: - Proficient in Python and MediaPipe for real-time hand tracking - Experience in developing machine learning models, especially in TensorFlow/Keras for the .ipynb and .h5 formats. - Familiarity with sign language, particularly Arabic sign language, would be advantageous. - A background in educational technology or experience in creating educational resources is a plus. Please make sure to include any related experience, projects, or research that you think would be relev...
...enhance efficiency, and provide a competitive edge to our clients. Data Analysis and Visualization: Harness the power of Python libraries such as Pandas, NumPy, and Matplotlib to perform in-depth data analysis, extract actionable insights, and visualize complex data sets effectively. Machine Learning Solutions: Develop machine learning models and algorithms using Python frameworks like TensorFlow, Keras, and Scikit-learn to enable predictive analytics, pattern recognition, and automated decision-making. Web Development: Create dynamic and responsive web applications using Python-based frameworks such as Django and Flask, ensuring scalability, security, and a seamless user experience. Integration and Automation: Integrate disparate systems, automate repetitive tasks, and streamlin...
I'm looking for a seasoned Deep Learning programmer who can turn my existing CNN-based breast cancer detection code to include the VGG16 model. This will involve: - Complete refactoring of the code. - Implementation in Python using both TensorFlow and Keras. - Creating detailed comments to provide robust explanation and understanding of the code. Max Budget--> 2500 Min Requirement --> An equivalent implementation using any of VGG16 or VGG19. Link of the Project : The ideal candidate for this job would possess extensive experience in Neural Networks especially in VGG models, Python, TensorFlow, and Keras. Understanding of breast cancer detection methods would also be beneficial. I'm seeking a professional
Objective: We are seeking an individual or company skilled in neural networks and Keras to develop a predictive model. This model will forecast the occurrence of a phenomenon based on historical data. Requirements: Data Acquisition: Historical data required for training the model will be fetched via an API from our comprehensive database, which is updated multiple times weekly. Data Processing: All retrieved data will be processed to facilitate effective model training. This includes Exploratory Data Analysis (EDA) to identify impactful data, outlier detection for data quality, and feature engineering to determine the final model inputs. Model Development: Train two types of models using Deep Neural Network (DNN) and Long Short-Term Memory (LSTM) architectures: A classification mo...
So we are looking for an app developer who can do a project on infant child m...things data’s will be feeded from sensors controlled by esp32 module) Using yoso algorithm for speech detection, voices of mother, father and the caretaker voices are pre recorded. (So this project is basically abt babies in incubator…so in a room many babies will be there) so any other voices come other than those 3 it should show a stranger algorithm. Optional: Camera will be fixed and using cnn baby faces will be recorded… then in app it should status of baby.. if its crying , sleeping or laughing eg : notification in app will be baby is smiling. Therefore, past experience with this functionality, though appreciated, is not necessary for this project. The budget allocated for...
I need a Python-based machine learning program that can predict stock prices based solely on historical stock prices. Key Features: - Utilizes Historical Stock Prices: The program should be trained on historical stock price data. - Use these models: CNN-LSTM, ARIMA-LSTM, RNN, random forest models, and plot a single graph and predict for next 'n' days. - Educational Purpose: I'll be using this program for educational purposes, so it should be designed for easy understanding and manipulation. - Interactive: It should have interactive charts and graphs to better visualize the data. I also need the program to allow me to input different data sets, so that I can test its accuracy and learn more about its workings. Ideal Skills: - Strong understanding of machine learnin...
...with specific experience in Convolutional Neural Networks. The primary goal of this project is to bolster our search engine ranking through effective link building. To achieve this, I need you to develop and implement a CNN model. The model will be trained on textual data from websites, which I have available for this purpose. Your responsibilities will include: - Developing an effective CNN model - Training the model with the available textual data - Implementing the model for link building Ideal candidate should have: - Proven experience in deep learning, specifically with CNN - Previous success in link building through machine learning - Proficiency in Python and relevant deep learning libraries - Ability to work independently and meet deadlines please don,t ...
use one of the following to get high accuracy: - Convolutional Neural Network (CNN) - Radial Basis Function Network (RBF) - Extreme Learning Machine (ELM) - Support Vector Machine (SVM) - Transformer using SUN397 dataset
...mother, father, and nurse. - Alert system to indicate if any other voices are detected within a 25-meter radius of the incubator. - Live Camera Feed: - Ensure continuous live streaming of the camera fixed inside the incubator, providing CCTV monitoring. - Ensure the camera feed is accessible at all times through the app. Optional Features: - *Baby Facial Expression Indicator:* - Utilize CNN (Convolutional Neural Network) for detecting baby facial expressions. - Indicate if the baby is crying, smiling, or sleeping through the app interface. - User Interface: - Design an intuitive and user-friendly interface for easy navigation and interaction. - Ensure compatibility with various screen sizes and resolutions for both mobile and tablet devices. - Reliability and Pe...
