You will get an AI-powered web application with Ollama, Django and Next.js
Project details
Generic web applications are no longer enough. You will get a fully functional AI-powered web application built on Django and Next.js with Ollama or OpenAI API handling the intelligence layer, delivering real automation, personalization, and decision-making inside your product.
What is included:
AI integration using Ollama, OpenAI API, or LangChain on Python and Django backend
Django REST Framework API layer connecting AI models to Next.js frontend
Custom AI features including chatbots, recommendation engines, matching systems, or document processing
PostgreSQL or MongoDB database architecture
Redis and Celery for async AI workload processing
AWS deployment with Docker containerization
Role-based access control and secure authentication
Scalable SaaS platform architecture built around the AI feature set
AI-powered platforms delivered include a healthcare candidate matching engine and an AI-driven exam system, both live in production using OpenAI API on Django and Python backends.
Message me with your AI feature requirements and I will respond within 24 hours with a build approach.
What is included:
AI integration using Ollama, OpenAI API, or LangChain on Python and Django backend
Django REST Framework API layer connecting AI models to Next.js frontend
Custom AI features including chatbots, recommendation engines, matching systems, or document processing
PostgreSQL or MongoDB database architecture
Redis and Celery for async AI workload processing
AWS deployment with Docker containerization
Role-based access control and secure authentication
Scalable SaaS platform architecture built around the AI feature set
AI-powered platforms delivered include a healthcare candidate matching engine and an AI-driven exam system, both live in production using OpenAI API on Django and Python backends.
Message me with your AI feature requirements and I will respond within 24 hours with a build approach.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Localization, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$1,000
|
Standard
$2,500
|
Advanced
$5,000
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 30 days |
Number of Revisions | 2 | 2 | 2 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Frequently asked questions
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KW
Kashif W.
Jul 24, 2026
Next.js Developer Needed for Firebase Auth Integration & AWS Deployment
Aamir was exactly the kind of developer you hope to find on Upwork. He took time to understand the project properly before jumping into code, which made the whole process much smoother. Delivered clean, well documented work on schedule and communicated proactively whenever there was something worth flagging.
About Muhammad
Full Stack Developer | Python, Django & Next.js | SaaS & AI Platforms
Lahore, Pakistan - 8:44 pm local time
Over a decade in software development, the last several years focused specifically on Django, Next.js, and AI-integrated SaaS platforms across healthcare, EdTech, and HR tech. Five production platforms shipped. Three enterprise clients, including Philips, TruMarit (CGFNS), and The Godwit Group. The kind of experience that catches architecture problems before they become budget problems.
I specialize in B2B SaaS platforms where data isolation, role complexity, and uptime are non-negotiable: multi-tenant architecture, OpenAI API integration, real-time systems built with Node.js where the architecture calls for it, and cloud infrastructure built into the core product from day one, not retrofitted after the first scaling problem.
What I build:
🏢 Multi-tenant SaaS platforms
Multiple brands or organizations running on a single Python and Django codebase, with fully isolated data, tenant-specific dashboards, and centralized admin control. Three of these are live in production right now.
🤖 AI-powered web applications
OpenAI API doing real work inside the product: candidate matching engines, AI-driven exam systems, automated resume parsing, and personalized recommendation systems, built into the architecture from the start.
🏥 Healthcare and EdTech SaaS
Complex multi-role access, secure data pipelines, real-time communication, and background job processing with Celery and Redis on AWS, built to handle real concurrent load.
⚙️ Core stack
Django REST Framework, GraphQL and REST APIs, Next.js and React on the frontend, PostgreSQL or MongoDB, Node.js where the architecture calls for it, Docker and CI/CD handling every deployment.
Three examples of this in production:
A multi-tenant SaaS certification platform running three independent brands from one Django and Next.js codebase, with an AI-powered exam engine, e-commerce, role-based access control, and tenant-specific admin dashboards, live across three domains simultaneously.
An AI-powered healthcare recruitment platform built for The Godwit Group on Next.js, GraphQL, Python, MongoDB Atlas, and OpenAI API, handling intelligent candidate matching, automated resume parsing, real-time employer-candidate messaging, interview scheduling, and a full ATS for healthcare organizations across international markets.
A nationwide EdTech platform on Django handling school registrations, online examinations, automated result processing, and certificate generation at scale, with Celery and Redis managing async load across thousands of concurrent users without performance degradation.
MVP development, SaaS platform development, web application development, AI integration. One developer, from the first architecture decision to production deployment, who has shipped this before and knows where the problems show up before they do.
If your platform has a coordination problem, an architecture problem, or needs building from scratch, message me with the details. I will come back within 24 hours with a clear build approach, or an honest answer about fit.
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.
AI Scoping and Architecture
Define the AI use case, select the appropriate model and integration approach, and map the data flow between Django backend, AI layer, and Next.js frontend.
Development and Deployment
Build and integrate the AI features into the full stack application with testing, optimization, and AWS production deployment.