You will get image classification using computer vision
Rising Talent
Rising Talent
Project details
Greetings,
I am thrilled to introduce you to a groundbreaking project that not only showcases my expertise but also addresses a significant challenge in the realm of computer vision. With a deep passion for cutting-edge technology and a commitment to providing innovative solutions.
Overview:
The project at hand focuses on leveraging the power of deep learning, specifically, Convolutional Neural Networks (CNNs), to revolutionize the way we interpret and understand human facial expressions. Recognizing emotions from facial cues is a critical task in various fields, including human-computer interaction, psychology, and marketing. I have harnessed the potential of advanced machine learning techniques to create a robust and accurate facial expression classification model.
Features and Strengths:
1. State-of-the-Art Deep Learning Techniques:
2. Diverse Emotion Classification:
3. Real-time Performance:
4. Data Augmentation Strategies:
In conclusion, the Facial Expression Classification project stands as a testament to my skills and dedication in the realm of computer vision and deep learning.
I am thrilled to introduce you to a groundbreaking project that not only showcases my expertise but also addresses a significant challenge in the realm of computer vision. With a deep passion for cutting-edge technology and a commitment to providing innovative solutions.
Overview:
The project at hand focuses on leveraging the power of deep learning, specifically, Convolutional Neural Networks (CNNs), to revolutionize the way we interpret and understand human facial expressions. Recognizing emotions from facial cues is a critical task in various fields, including human-computer interaction, psychology, and marketing. I have harnessed the potential of advanced machine learning techniques to create a robust and accurate facial expression classification model.
Features and Strengths:
1. State-of-the-Art Deep Learning Techniques:
2. Diverse Emotion Classification:
3. Real-time Performance:
4. Data Augmentation Strategies:
In conclusion, the Facial Expression Classification project stands as a testament to my skills and dedication in the realm of computer vision and deep learning.
Machine Learning Tools
Azure Machine Learning, BERT, ChatGPT, GPT-3, Keras, Microsoft Excel, NLTK, NumPy, OpenCV, pandas, Python, Python Scikit-Learn, PyTorch, SAS, scikit-learn, SQL, Tableau, TensorFlow, XGBoostWhat's included $50
These options are included with the project scope.
$50
- Delivery Time 4 days
- Number of Revisions 2
- Number of Model Variations 1
- Number of Scenarios 2
- Number of Graphs/Charts 5
- Model Validation/Testing
- Model Documentation
- Data Source Connectivity
- Source Code
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AS
Armando S.
Dec 19, 2025
n8n Automation & API Integration Specialist
Highly recommend! Muhammad, crushed the n8n automation project, designing seamless API-driven workflows that boosted our efficiency. Super responsive, detail-oriented, and a pro at integrating third-party services. Delivered top-notch work and collaborated brilliantly! Would definitely hire again
WA
Wajid A.
Mar 2, 2024
Need ML Models and Data Processing expert
Working with Hassan was an exceptional experience. Their expertise in machine learning surpassed my expectations. They not only delivered high-quality results but also provided insightful suggestions to improve our project. Communication was seamless, deadlines were met, and the final outcome exceeded our goals. I highly recommend [Your Name] for any machine learning projects.
WA
Wajid A.
Dec 28, 2022
Need a Python Developer (Machine Learning)
"Very good to work with. Has good knowledge of ML, AI. Always answered my questions with patience and replied ontime. Please to work with and will rehire in future"
About Muhammad
AI Engineer | RAG, LLMs, AI Agents, Automation, End-to-End Development
Islamabad, Pakistan - 5:11 pm local time
I help businesses build production-ready AI products from end to end.
I’m Muhammad Hassan, an AI Engineer specializing in RAG systems, LLM applications, AI agents, document intelligence, backend development, and workflow automation. I build complete solutions that move beyond prototypes: systems that retrieve the right information, generate reliable outputs, connect with existing tools, and fit into real business operations.
What I can help you build
RAG chatbots and knowledge assistants
I design end-to-end retrieval systems with document ingestion, chunking, embeddings, hybrid search, reranking, memory, and source-grounded responses.
LLM-powered applications
I build AI features and full applications for support, research, reporting, internal operations, and domain-specific workflows.
Document intelligence pipelines
I turn PDFs, scanned files, tables, reports, and other unstructured documents into structured, searchable, usable data.
AI agents and workflow automation
I create agentic workflows and automations using APIs, webhooks, and tools like n8n to reduce manual work and improve operational efficiency.
Backend and product development
I build the infrastructure behind AI products: Python services, FastAPI backends, vector database integrations, SQL pipelines, and deployment-ready APIs.
Tech stack
Python, FastAPI, LangChain, OpenAI, Claude, Llama, Mistral, Pinecone, Weaviate, ChromaDB, Supabase, SQL, ClickHouse, OCR, document parsing, API integrations, and n8n.
How I work
I approach every project like a product, not a one-off task. That means:
clear architecture
reliable retrieval and outputs
maintainable code
scalable design
practical business value
If you need a developer who can build the AI layer, backend layer, and automation layer into one complete solution, I’d be glad to help.
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
initial step
Non-Clouser