You will get Fabric Color detecting AI model
Project details
I’m an AI Developer with hands-on experience in building custom machine learning and deep learning models tailored to real-world problems.
Whether it’s image classification, anomaly detection, NLP (chatbots, sentiment analysis), or predictive modeling, I can deliver accurate, production-ready solutions.
I create clean, well-documented models using Python, TensorFlow, Keras, Scikit-learn, and OpenCV.
I offer end-to-end solutions — from data preprocessing and model training to deployment via APIs or web apps (e.g., Gradio, Streamlit).
You’ll receive a tested, scalable, and easy-to-use solution with post-delivery support and revisions if needed.
Let’s bring your idea to life using the power of AI.
Whether it’s image classification, anomaly detection, NLP (chatbots, sentiment analysis), or predictive modeling, I can deliver accurate, production-ready solutions.
I create clean, well-documented models using Python, TensorFlow, Keras, Scikit-learn, and OpenCV.
I offer end-to-end solutions — from data preprocessing and model training to deployment via APIs or web apps (e.g., Gradio, Streamlit).
You’ll receive a tested, scalable, and easy-to-use solution with post-delivery support and revisions if needed.
Let’s bring your idea to life using the power of AI.
AI Development Type
Deep Learning, Model TuningAI Tools
Azure Machine Learning, Deeplearning4j, Keras, MLflow, Open Neural Network Exchange, OpenCV, PyTorch, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$75
|
Standard
$220
|
Advanced
$570
|
|---|---|---|---|
| Delivery Time | 14 days | 30 days | 60 days |
Number of Revisions | 3 | 3 | 3 |
AI Model Integration | - | - | |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | - |
Model Documentation | - | - | - |
Ontology | - | - | - |
Source Code | - | - | - |
Taxonomy | - | - | - |
About Aneera
QA Testing | Artificial Intelligence, Neural Network, Computer Vision
Lahore Cantt, Pakistan - 12:15 pm local time
Object Detection Model
Built an object detection system using the YOLO (You Only
Look Once) model to detect and localize multiple objects in
images with real-time performance. The model was trained
and tested on labeled image datasets to accurately identify
object classes and bounding boxes.
Sentiment Analysis System
Developed a sentiment analysis system using pre-trained
transformer models from Hugging Face to classify text data
based on emotional tone (positive, negative, or neutral).
Leveraged state-of-the-art NLP models such as BERT and
DistilBERT for accurate and efficient sentiment classification.
Color Variation Detector
Designed and implemented a model to detect and classify
subtle color variations in images. The system was trained to
identify differences in shade, tone, or color intensity across
image samples for quality control or classification tasks.
Text-based Emotion Recognition using LLMs
Steps for completing your project
After purchasing the project, send requirements so Aneera can start the project.
Delivery time starts when Aneera receives requirements from you.
Aneera works on your project following the steps below.
Revisions may occur after the delivery date.
Understand the Problem – Review your project goals and data requirements