You will get I will build a custom Machine Learning model in Python
Project details
I'm a published AI/ML Engineer with a B.Sc. in Computer Engineering
from UET Peshawar. My research on Transformer-based Speech Emotion
Recognition achieved 83.2% accuracy and was published in a
peer-reviewed journal in 2025.
I build production-ready machine learning systems — not just
notebooks. Whether you need a classification model, regression
system, NLP pipeline, or computer vision solution, I deliver
clean, tested, and documented code that actually works.
What I bring to your project:
• Custom ML models using Python, PyTorch, TensorFlow, Scikit-learn
• Full pipeline: data preprocessing → training → evaluation → delivery
• Clear communication and on-time delivery
• Source code + documentation included in every project
Past projects include:
• BERT-based Sentiment Analysis API
• Multi-disease Health Prediction Platform (Diabetes, Parkinson's, Pneumonia)
• Speech Emotion Recognition System (83.2% accuracy, peer-reviewed)
• Face Recognition System with Liveness Detection
If you need a reliable AI/ML engineer who delivers real results,
message me and let's get started.
from UET Peshawar. My research on Transformer-based Speech Emotion
Recognition achieved 83.2% accuracy and was published in a
peer-reviewed journal in 2025.
I build production-ready machine learning systems — not just
notebooks. Whether you need a classification model, regression
system, NLP pipeline, or computer vision solution, I deliver
clean, tested, and documented code that actually works.
What I bring to your project:
• Custom ML models using Python, PyTorch, TensorFlow, Scikit-learn
• Full pipeline: data preprocessing → training → evaluation → delivery
• Clear communication and on-time delivery
• Source code + documentation included in every project
Past projects include:
• BERT-based Sentiment Analysis API
• Multi-disease Health Prediction Platform (Diabetes, Parkinson's, Pneumonia)
• Speech Emotion Recognition System (83.2% accuracy, peer-reviewed)
• Face Recognition System with Liveness Detection
If you need a reliable AI/ML engineer who delivers real results,
message me and let's get started.
Machine Learning Tools
BERT, Keras, Microsoft Excel, NLTK, NumPy, Open Neural Network Exchange, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, scikit-learn, TensorFlow, Tesseract OCR, Word2vecWhat's included
| Service Tiers |
Starter
$50
|
Standard
$90
|
Advanced
$160
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 17 days |
Number of Revisions | 1 | 2 | 3 |
Number of Model Variations | 1 | 2 | 2 |
Number of Scenarios | 1 | 2 | 2 |
Number of Graphs/Charts | 2 | 3 | 4 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | - | |
Source Code |
Optional add-ons
You can add these on the next page.
Model Deployment (FastAPI)
(+ 2 Days)
+$25Frequently asked questions
About Didar
AI/ML Engineer | Data Analyst | NLP | Published Researcher
Rawalpindi, Pakistan - 9:35 am local time
I build production-ready AI systems and data solutions — from NLP pipelines and ML models to full-stack applications and data analysis dashboards.
Recent work includes a BERT sentiment analysis API, a multi-disease health prediction platform (Diabetes, Parkinson's, Pneumonia), and a face recognition system with liveness detection.
Stack: Python, PyTorch, TensorFlow, FastAPI, Scikit-learn, Pandas, NumPy, SQL, Streamlit, Linux.
Clear communication, clean code, working systems. Message me to get started.
Steps for completing your project
After purchasing the project, send requirements so Didar can start the project.
Delivery time starts when Didar receives requirements from you.
Didar works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
Review client data, goals and project scope. Ask clarifying questions if needed.
Data Preprocessing
Clean, explore and prepare the dataset. Handle missing values, encoding and feature engineering.