You will get I will build a custom AI Multi-Agent system with Python, LLMs, or Android
Project details
I build production-grade AI Multi-Agent systems that automate complex workflows, data extraction, and RAG pipelines â delivered as optimized Python backends or native Android apps.
đ Real Example I Built: AI Used-Car FinderAn automated agent pipeline that searches the web in real-time and delivers results to mobile:
1.Finder Agent: Hunts real-time data via API tool calls and crafts optimized queries.
2.Evaluator Agent: Filters junk and ranks the best matches using structured JSON parsing (Pydantic).
3.Android App Integration: Extended into a mobile app that runs daily auto-searches and triggers native push notifications.
âď¸ Why My Systems Are Different:
Reliable & No Hallucinations: Structured outputs mean clean, predictable data.
Mobile-Ready: Can wrap your AI workflow into a fully functional Android app.
Cost-Efficient: Fail-safe logic skips unnecessary LLM calls, saving your API budget.
đ ď¸ What I Can Build For You:
Lead generation & market research agents
Smart RAG systems with custom knowledge bases
Automated data extraction with Android, Email
Tech Stack: Python, LangChain/CrewAI, OpenAI, Gemini, Pydantic, Android (Kotlin/Java), APIs.
đŠ Message me with your workflow
đ Real Example I Built: AI Used-Car FinderAn automated agent pipeline that searches the web in real-time and delivers results to mobile:
1.Finder Agent: Hunts real-time data via API tool calls and crafts optimized queries.
2.Evaluator Agent: Filters junk and ranks the best matches using structured JSON parsing (Pydantic).
3.Android App Integration: Extended into a mobile app that runs daily auto-searches and triggers native push notifications.
âď¸ Why My Systems Are Different:
Reliable & No Hallucinations: Structured outputs mean clean, predictable data.
Mobile-Ready: Can wrap your AI workflow into a fully functional Android app.
Cost-Efficient: Fail-safe logic skips unnecessary LLM calls, saving your API budget.
đ ď¸ What I Can Build For You:
Lead generation & market research agents
Smart RAG systems with custom knowledge bases
Automated data extraction with Android, Email
Tech Stack: Python, LangChain/CrewAI, OpenAI, Gemini, Pydantic, Android (Kotlin/Java), APIs.
đŠ Message me with your workflow
AI Algorithms
Large Language Model, Multimodal Large Language Model, Transformer ModelAI Applications
AI Mobile App Development, Conversational AI, Natural Language UnderstandingAI Development Language
PythonAI Tools
GradioAI Models
GPT-4What's included
| Service Tiers |
Starter
$75
|
Standard
$300
|
Advanced
$700
|
|---|---|---|---|
| Delivery Time | 5 days | 10 days | 20 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | |||
Setup File | |||
Source Code |
About Ahmed
Android developer
Giza, Egypt - 6:06 am local time
Steps for completing your project
After purchasing the project, send requirements so Ahmed can start the project.
Delivery time starts when Ahmed receives requirements from you.
Ahmed works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Architecture Design đ
Reviewing your workflow, designing the AI Multi-Agent logic, and planning the integration architecture (including the Android app interface/APIs if included in your package).
Core Development & Engineering đ§
Building the Python AI logic, RAG pipelines, and memory. If your package includes Android, I will develop the native mobile app and connect it seamlessly via secure APIs.