You will get Remote sensing land use land cover classification using deep learning
Project details
I will develop a custom AI-powered Remote Sensing Land Use and Land Cover (LULC) Classification solution using modern Deep Learning techniques. Whether you need a complete application, a trained classification model, or accurate prediction results from satellite and aerial imagery, I will deliver a reliable, production-ready solution tailored to your requirements.
My services include satellite image preprocessing, deep learning model development, model training and validation, land cover classification, confidence scoring, result visualization, and comprehensive reporting. I can build user-friendly web or mobile interfaces, integrate custom datasets, and provide deployment support if required.
The solution can classify multiple land cover categories such as Residential, Industrial, Forest, Water Bodies, Agriculture, Highways, Pasture, and more depending on your dataset. Every project is developed with clean, scalable code and clear communication throughout the development process.
Whether you are a researcher, startup, business, or government organization, I will help you transform satellite imagery into accurate and meaningful insights using Artificial Intelligence.
My services include satellite image preprocessing, deep learning model development, model training and validation, land cover classification, confidence scoring, result visualization, and comprehensive reporting. I can build user-friendly web or mobile interfaces, integrate custom datasets, and provide deployment support if required.
The solution can classify multiple land cover categories such as Residential, Industrial, Forest, Water Bodies, Agriculture, Highways, Pasture, and more depending on your dataset. Every project is developed with clean, scalable code and clear communication throughout the development process.
Whether you are a researcher, startup, business, or government organization, I will help you transform satellite imagery into accurate and meaningful insights using Artificial Intelligence.
Machine Learning Tools
pandas, PyTorch, scikit-learn, XGBoostWhat's included
| Service Tiers |
Starter
$30
|
Standard
$90
|
Advanced
$210
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 days |
Number of Revisions | 2 | 3 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 5 | 10 | 20 |
Number of Graphs/Charts | 1 | 3 | 5 |
Model Validation/Testing | - | ||
Model Documentation | - | ||
Data Source Connectivity | - | ||
Source Code | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $45
Additional Revision
+$10
Additional Model Variation
(+ 1 Day)
+$10
Additional Scenario
(+ 1 Day)
+$20
Additional Graph/Chart
+$10
Model Validation/Testing
(+ 1 Day)
+$15
Model Documentation
(+ 1 Day)
+$10
Data Source Connectivity
(+ 2 Days)
+$25Frequently asked questions
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SA
Shafqat A.
Aug 8, 2026
Enterprise AI Platform Development (LLMs, AI Agents, Computer Vision & NLP)
Great experience working with Bilal. He understood the requirements well, delivered the project as expected, and handled the AI/API integrations and backend development professionally. Communication was clear and he was responsive throughout the project. I’m happy with the final result and would definitely work with him again.
About BIlal
AI/ML Developer | Full Stack Developer | Gen AI, Ai agent & RAG
Attock City, Pakistan - 1:44 pm local time
I am an AI/ML Engineer with experience across Machine Learning, Deep Learning, Generative AI, Computer Vision, NLP, LLM applications, and AI Agents.
I specialize in designing and developing practical AI solutions, from custom model development and experimentation to production-ready applications and end-to-end AI integrations.
My work includes computer vision systems, LLM/RAG applications, AI agents and automation, image-generation workflows, and custom AI-powered
🔹 𝐓𝐡𝐢𝐧𝐠𝐬 𝐈 𝐰𝐨𝐫𝐤 𝐨𝐧
𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 & 𝐋𝐋𝐌𝐬: AI assistants, LLM applications, generative AI features, and AI-powered workflows
𝐀𝐈 𝐈𝐦𝐚𝐠𝐞 𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐨𝐧: image-to-image generation, reference-image workflows, AI product photography, product visualization, and prompt engineering
𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬: agentic workflows, tool-using agents, LLM agents, multi-agent systems, and AI automation
𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐕𝐢𝐬𝐢𝐨𝐧: image classification, object detection, image analysis, visual recognition, and CNN-based solutions
𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 & 𝐃𝐞𝐞𝐩 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: model training, fine-tuning, evaluation, preprocessing, and optimization
𝐑𝐀𝐆 & 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐀𝐈: document processing, knowledge bases, embeddings, vector search, semantic search, and grounded AI responses
𝐍𝐋𝐏: text classification, information extraction, text analysis, and language-based applications
𝐅𝐮𝐥𝐥-𝐒𝐭𝐚𝐜𝐤 𝐀𝐈 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭: building the AI, backend, APIs, database, and frontend needed to turn an idea into a complete application
𝐀𝐈 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: connecting AI models and APIs with existing products, platforms, and business workflows
🔹 𝐌𝐲 𝐮𝐬𝐮𝐚𝐥 𝐬𝐭𝐚𝐜𝐤
Python, PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, FastAPI, Flask, Django, React, Next.js, Node.js, PostgreSQL, MongoDB, OpenCV
For AI work, I regularly work with LLMs, Generative AI, RAG, AI Agents, Computer Vision, NLP, embeddings, vector search, prompt engineering, fine-tuning, and multimodal AI.
I’ve worked with APIs and models from OpenAI, Anthropic/Claude, Gemini, and Hugging Face, along with custom AI/ML pipelines and third-party integrations.
I have a background in scientific research and technical writing, which has taught me to test assumptions, measure results, document my work, and explain technical decisions clearly.
Whether you’re starting with an AI idea, improving an existing model, or integrating AI into a product that’s already in production, I’m happy to help figure out the practical way forward.
𝐊𝐞𝐲𝐰𝐨𝐫𝐝𝐬:
Artificial Intelligence, AI Engineer, AI Developer, AI Software Engineer, Machine Learning, Machine Learning Engineer, Deep Learning, Generative AI, Generative AI Engineer, Agentic AI, AI Agents, AI Agent Development, LLM Agents, Autonomous AI Agents, Multi-Agent Systems, AI Automation, AI Application Development, AI Software Development, AI Integration, AI API Integration, Production AI
Computer Vision, Computer Vision Engineer, Computer Vision AI, Vision AI, Visual AI, Image Processing, Image Classification, Image Recognition, Object Detection, Image Segmentation, OpenCV, CNN, Convolutional Neural Networks
AI Image Generation, Generative Image AI, Image Generation, AI Image Generator, Image-to-Image Generation, Reference Image Generation, Reference Image Workflow, AI Product Photography, Product Image Generation, Product Visualization, Image Editing AI, Diffusion Models, Stable Diffusion, SDXL, Flux, Multimodal AI, Vision-Language Models, VLM, CLIP
Large Language Models, LLM, LLM Development, LLM Applications, LLM Integration, NLP, Natural Language Processing, Hugging Face, LangChain, LangGraph, Prompt Engineering, Prompt Optimization, Prompt Templates, Function Calling, Tool Calling, AI Chatbot, AI Assistant, Conversational AI
RAG, Retrieval Augmented Generation, RAG Development, RAG Architecture, RAG Pipeline, Document AI, Document Intelligence, Knowledge Base, Vector Database, Vector Search, Semantic Search, Embeddings, Pinecone, FAISS, ChromaDB, Weaviate, Qdrant
Full Stack AI, AI Full Stack Developer, Full Stack Developer, AI Web Development, Backend Development, Frontend Development, FastAPI, Flask, Django, React, Next.js, Node.js, Python, TypeScript, JavaScript, REST API, PostgreSQL, MongoDB, SaaS Development
Model Training, Model Fine-Tuning, Transfer Learning, Few-Shot Learning, Zero-Shot Learning, Model Evaluation, Model Optimization, Data Preprocessing, Feature Engineering, Model Deployment, ML Pipelines, MLOps, AI Testing, AI Evaluation
OpenAI API, Anthropic API, Claude API, Gemini API, Hugging Face API, AI Model Integration, LLM API Integration, Generative AI API, Image Generation API, AI Backend Integration, Claude Code, Codex, AI-Assisted Development, Vibe Coding
Steps for completing your project
After purchasing the project, send requirements so BIlal can start the project.
Delivery time starts when BIlal receives requirements from you.
BIlal works on your project following the steps below.
Revisions may occur after the delivery date.
Requirements Analysis
Review your project requirements, satellite imagery, dataset, and expected land cover classes before development begins.
Model Development & Training
Develop, train, validate, and optimize the deep learning model for accurate land use and land cover classification.