You will get Data Science, Machine Learning and analysis projects in python
Project details
Hi, if you are looking for someone to work in your AI related projects, I'm the one!
What I am offering,
Machine Learning, Deep Learning , Computer Vision and Automation solutions for your complex problems
Training and deploy your machine learning models
Object detection: YOLO-v4, v5, v7, X/Retina-net/Mask-RCNN/Faster-RCNN
Object tracking: DEEP-SORT, ByteTrack, OpenCV-Trackers
Image segmentation: Mask-RCNN, U-NET
Image and audio classification: InceptionResnetV2, VGGnet, Inception, Xception, ResNeXt
Pose estimation: OpenPose, YOLOv7, VitPose
Facial recognition: Facenet, VGGFace, Dlib, OpenFace, DeepFace, etc.
OCR: tesseractOCR, PaddleOCR
Data clustering and classification: K-MEAN, SVM, PCA, Random forest, Naive Bayes, decision tree, Logistic regression
Anomaly detection: SVM
NLP
Image preprocessing: OpenCV, CNN
Time series analysis and forecasting
Model deployment with REST APIs: Flask
Programming with edge-devices: Jetson, Raspberry-Pi, NCS
Tools, platforms and frameworks:
Pytorch, Tensorflow, Keras, OpenCVDNN, scikit-learn, OpenCV
AWS, GCP, Azure
Docker
Jupyter Notebook, Colab
Databases: MySQL, MongoDB, MariaDB
PLEASE KINDLY CONTACT ME BEFORE YOU PLACE THE ORDER!
What I am offering,
Machine Learning, Deep Learning , Computer Vision and Automation solutions for your complex problems
Training and deploy your machine learning models
Object detection: YOLO-v4, v5, v7, X/Retina-net/Mask-RCNN/Faster-RCNN
Object tracking: DEEP-SORT, ByteTrack, OpenCV-Trackers
Image segmentation: Mask-RCNN, U-NET
Image and audio classification: InceptionResnetV2, VGGnet, Inception, Xception, ResNeXt
Pose estimation: OpenPose, YOLOv7, VitPose
Facial recognition: Facenet, VGGFace, Dlib, OpenFace, DeepFace, etc.
OCR: tesseractOCR, PaddleOCR
Data clustering and classification: K-MEAN, SVM, PCA, Random forest, Naive Bayes, decision tree, Logistic regression
Anomaly detection: SVM
NLP
Image preprocessing: OpenCV, CNN
Time series analysis and forecasting
Model deployment with REST APIs: Flask
Programming with edge-devices: Jetson, Raspberry-Pi, NCS
Tools, platforms and frameworks:
Pytorch, Tensorflow, Keras, OpenCVDNN, scikit-learn, OpenCV
AWS, GCP, Azure
Docker
Jupyter Notebook, Colab
Databases: MySQL, MongoDB, MariaDB
PLEASE KINDLY CONTACT ME BEFORE YOU PLACE THE ORDER!
Machine Learning Tools
Apache Spark, Cloudera, Google Sheets, Keras, MATLAB, Microsoft Excel, Microsoft Power BI, MLflow, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, R, SAS, SciPy, Scrapy, Sonnet, SQL, Tableau, TensorFlow, Word2vec, XGBoostWhat's included
| Service Tiers |
Starter
$25
|
Standard
$50
|
Advanced
$75
|
|---|---|---|---|
| Delivery Time | 1 day | 3 days | 5 days |
Number of Revisions | 3 | 6 | 9 |
Number of Model Variations | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | - | - | - |
Source Code |
About Arqam
Python/Django & FastAPI Backend Developer | AI Integration | REST APIs
Gujranwala, Pakistan - 11:29 am local time
I specialize in Django, Django REST Framework, and FastAPI — building APIs, backend systems, AI-powered features, and data pipelines that are reliable and easy to maintain long-term.
Services
Django & DRF — REST APIs, authentication, admin panels, Celery tasks, third-party integrations
FastAPI — async APIs, microservices, OpenAPI documentation, Pydantic validation
AI Integration — OpenAI, Google Gemini, LangChain, RAG pipelines, document processing, AI assistants
AI/ML Projects — Scikit-learn, Pandas, NumPy, data processing pipelines, model integration, Jupyter notebooks
Web Scraping — BeautifulSoup, Scrapy, Selenium, Playwright, data extraction, automation scripts
Payments — Stripe, PayPal, Braintree, subscription billing, webhook handling
Real-Time — WebSockets, Django Channels, Redis, live notifications
Databases — PostgreSQL, MySQL, schema design, query optimization
Testing — Pytest, unittest, API testing, test coverage, CI integration
Cloud & Deployment — Docker, AWS (EC2, S3, RDS), CI/CD pipelines
How I approach projects
Before starting any work, I take time to understand your requirements, goals, and any existing architecture. This helps avoid rework later and keeps the project moving in the right direction.
Throughout the project you'll get regular updates, clean and documented code, and straightforward communication.
Let's talk
Share your project details or requirements and I'll get back to you with my thoughts on the best approach.
Steps for completing your project
After purchasing the project, send requirements so Arqam can start the project.
Delivery time starts when Arqam receives requirements from you.
Arqam works on your project following the steps below.
Revisions may occur after the delivery date.
i will keep up to date you with the process