You will get AI Agent for DSO-Based Drone Navigation and Mapping
Project details
This AI Agent enables drones to build real-time 3D maps and navigate complex indoor environments using monocular video. The AI Agent processes camera input, reconstructs spatial geometry, and supports autonomous drone movement without expensive sensors.
The AI Agent uses Direct Sparse Odometry (DSO) to generate accurate 3D maps from video streams while maintaining stable navigation during motion. This AI Agent helps automate indoor delivery, warehouse logistics, inspection workflows, and inventory monitoring.
As an AI Agent Builder and AI Developer, I design AI Agent Automation systems that integrate drone software, warehouse systems, and robotics platforms using AI API Integration. The AI Agent can connect with control systems, mapping tools, and operational dashboards.
This AI Agent Creator solution can run independently or inside a larger AI Automation Agency environment. Using agentic architecture, AI Agent n8n orchestration, and AI Developers RAG pipelines, the AI Agent supports reliable navigation and mapping workflows.
If you want to Build AI Agent systems for autonomous navigation and indoor mapping, this AI Agent solution provides production-ready drone intelligence.
The AI Agent uses Direct Sparse Odometry (DSO) to generate accurate 3D maps from video streams while maintaining stable navigation during motion. This AI Agent helps automate indoor delivery, warehouse logistics, inspection workflows, and inventory monitoring.
As an AI Agent Builder and AI Developer, I design AI Agent Automation systems that integrate drone software, warehouse systems, and robotics platforms using AI API Integration. The AI Agent can connect with control systems, mapping tools, and operational dashboards.
This AI Agent Creator solution can run independently or inside a larger AI Automation Agency environment. Using agentic architecture, AI Agent n8n orchestration, and AI Developers RAG pipelines, the AI Agent supports reliable navigation and mapping workflows.
If you want to Build AI Agent systems for autonomous navigation and indoor mapping, this AI Agent solution provides production-ready drone intelligence.
AI Development Type
Deep Learning, Knowledge Representation, Model Tuning, Recommendation System, Software MaintenanceWhat's included
| Service Tiers |
Starter
$5
|
Standard
$500
|
Advanced
$1,500
|
|---|---|---|---|
| Delivery Time | 3 days | 21 days | 60 days |
AI Model Integration | - | ||
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | ||
Source Code | - | ||
Taxonomy | - |
16 reviews
(16)
(0)
(0)
(0)
(0)
This project doesn't have any reviews.
AV
Anastasia V.
Mar 27, 2026
AI Engineer needed to analyze and debug AI Agent automation workflow
Andrew was great to work with. He helped me identify and fix key issues in our AI agent setup and made the system much more stable and reliable. Communication was easy, the process was smooth, and the result met my expectations. I’d be happy to work with him again in the future.
AS
Andrii S.
Mar 10, 2026
AI Agent Developer to build a simple workflow automation ( OpenAI, n8n, RAG )
Excellent work quality with clear communication. All my feedback was addressed promptly, and Andrew also helped guide key decisions around the project architecture - demonstrating strong expertise and a real focus on achieving business objectives. Thanks, looking forward to working together again!
AL
Alan L.
Mar 27, 2012
120315 iact.com
We love the great service we get from this team!
AL
Alan L.
Mar 27, 2012
120215 - iact
This team is easy to work with and continues to put out excellent work.
AL
Alan L.
Jan 31, 2012
120115 - iact
The great work continues. No problems!
About Andrew
AI Agent | AI Agent Builder | AI Agent Automation | Agentic AI n8n RAG
100%
Job Success
Lviv, Ukraine - 4:25 am local time
If you’re looking to build AI Agent that can think, act, integrate with your tools and improve over time, you’re in the right place.
I work as an AI Agent Developer and Agentic AI Developer, helping founders, teams and companies turn complex processes into reliable AI Agent Automation systems - from internal ops to customer-facing products.
📊 Numbers that reflect real AI Agent outcomes
✅ 12+ years in AI systems, AI Agent development, full stack & software engineering
✅ 85+ digital products delivered, including AI Agent platforms and AI automation systems
✅ 57+ MVPs launched - many built around an AI Agent or agentic workflows
✅ 40+ production systems with AI Agent automation used by real users
✅ 32+ products prepared for investor demos, AI feasibility reviews & technical due diligence
✅ $2.2B+ raised by products I helped build or scale
✅ 30-45% faster launches using reusable AI Agent frameworks and automation pipelines
✅ 40% fewer post-launch issues thanks to stable AI Agent logic and controlled integrations
✅ 100% code ownership - every AI Agent stays fully in your repositories
✅ Clients working with me for 7+ years 🤝
Most projects start with one clear goal: replace manual work with an AI Agent that can operate independently.
That can mean:
→ An AI Agent that handles support, research or acts as a sales agent embedded into real business workflows
→ A backend AI Agent orchestrating APIs and business logic
→ An AI Voice Agent for calls, bookings or assistants
→ A multi-agent system acting as a full AI Automation Agency replacement
As an AI Agent Builder, I create systems that reason, plan and execute - not just respond.
This includes:
→ AI Agent Creation using modern agentic patterns
→ AI Agent Automation across CRMs, databases, internal tools and business development workflows
→ AI Agent n8n workflows for orchestration and scalability
→ Custom AI API Integration with existing platforms
Each AI Agent is designed to be reliable, explainable and easy to extend.
🧩I approach every project as an AI Developer first, not a prompt engineer.
As an Open AI Developer and AI Developer LangChain practitioner, I build AI Agent systems with:
• Proper state management
• Tool calling and function execution
• Memory, context control and fallback logic
• RAG pipelines (as an AI Developers RAG specialist)
• AI-first architecture
This allows each AI Agent to retrieve knowledge, reason over it and act safely in real environments.
When needed, I design AI Agent Automation stacks that behave like a full AI Agency, but fully owned by you.
💡Beyond one-off bots - real agentic systems
A simple chatbot isn’t an AI Agent.
A real AI Agent understands goals, chooses actions and completes tasks end-to-end.
That’s where Agentic AI Developer experience matters.
I build:
→ Single-purpose AI Agent tools (e.g. Pinterest marketing AI Agent or Etsy marketing AI Agent)
→ Multi-agent systems coordinating tasks
→ Internal AI Agent Creator platforms
→ Long-running AI Agent services
Whether you need an AI Agent Builder for MVP speed or a production-grade AI Agent Automation system, the focus stays the same: stability, control and measurable impact.
Strong foundations first - AI when it makes sense 🧠🔧
Every AI Agent I build sits on solid engineering foundations.
I combine AI Agent Development with backend systems, APIs and infrastructure so your AI Agent doesn’t collapse under real usage.
⚙️This includes:
• Backend services for AI Agent logic
• Secure AI API Integration
• Scalable pipelines for AI Agent Automation
• Monitoring, logging and iteration loops
AI should reduce chaos.
🧭 Not every problem needs AI from day one
If your project doesn’t require advanced AI immediately, I also help design and build data pipelines, backend services, APIs, dashboards and MVP infrastructure that work perfectly on their own.
This keeps products stable, cost-efficient and flexible - ready to introduce ML or AI features later, without forcing complexity too early.
🔍 How I usually work on AI Agent projects
1️⃣ Understand business goals, constraints and where an AI Agent creates real leverage
2️⃣ Design the right AI Agent architecture (tools, memory, APIs, automation) - not hype
3️⃣ Build and refine the AI Agent iteratively with clear milestones and validation
4️⃣ Test, launch, monitor and evolve the AI Agent in real-world usage
🧰 Core tech stack
- Frontend: React, Next.js, TypeScript
- Backend: Node.js, Python (FastAPI, Flask, Django)
- AI & Agents: OpenAI APIs, LangChain, RAG pipelines, Agentic AI patterns
- Automation: AI Agent n8n, custom orchestrators
- APIs: REST API, GraphQL, Webhooks
- Databases: PostgreSQL, MongoDB, Redis
- Cloud & DevOps: AWS, Docker, CI/CD
- Architecture: SaaS platforms, AI Agent Automation, clean code
Have an AI idea in mind?
Let’s make it live.
Steps for completing your project
After purchasing the project, send requirements so Andrew can start the project.
Delivery time starts when Andrew receives requirements from you.
Andrew works on your project following the steps below.
Revisions may occur after the delivery date.
I'll describe everything in detail after the first conversation.