Abhishek isn't taking new orders for this project right now. Here are some similar projects to explore.
You will get Data Dashboard with API Integration and Automated Updates
Project details
I will develop a custom full-stack web application tailored to your business needs. The project includes:
• Robust backend APIs using Python (Django/Flask/FastAPI) with secure authentication and database integration.
• Interactive dashboard for data visualization, reporting, and monitoring.
• Integration with internal or external services to ensure smooth workflows.
• Clean, maintainable code following industry best practices.
• Deployment-ready solution on Docker, AWS, or cloud environments.
• Performance-focused, secure, and scalable architecture.
Whether it’s a new application or upgrading an existing system, I deliver reliable, production-ready solutions that are tailored to your workflows and business goals.
• Robust backend APIs using Python (Django/Flask/FastAPI) with secure authentication and database integration.
• Interactive dashboard for data visualization, reporting, and monitoring.
• Integration with internal or external services to ensure smooth workflows.
• Clean, maintainable code following industry best practices.
• Deployment-ready solution on Docker, AWS, or cloud environments.
• Performance-focused, secure, and scalable architecture.
Whether it’s a new application or upgrading an existing system, I deliver reliable, production-ready solutions that are tailored to your workflows and business goals.
Programming Languages
HTML & CSS, JavaScript, PythonCoding Expertise
Cross Browser & Device Compatibility, Performance Optimization, SecurityWhat's included
| Service Tiers |
Starter
$350
|
Standard
$600
|
Advanced
$1,200
|
|---|---|---|---|
| Delivery Time | 7 days | 14 days | 30 days |
Number of Revisions | 3 | 5 | Unlimited |
Number of Pages | 4 | 8 | 12 |
Design Customization | - | ||
Content Upload | - | - | - |
Responsive Design | - | - | |
Source Code |
Frequently asked questions
About Abhishek
Automation & AI Workflow Engineer | n8n, LLM Workflows & Python
Solan, India - 8:05 pm local time
workflows where it actually helps — so the automation can read, decide, and route,
not just move data from A to B.
If your team is copying data between tools, processing the same requests every day,
or manually handling things an LLM could read and sort, that's work a workflow can
take over. I build it so it runs on its own.
What I work on:
Workflow Automation — Connecting your apps and automating processes end to end with
n8n, Make, and Zapier (or custom Python when the no-code tools hit a wall). API
integrations, webhooks, OAuth, and proper handling of failures and rate limits so
the workflow doesn't break when a service hiccups.
AI inside workflows — LLM and AI-agent steps built into n8n: classifying and routing
incoming data, pulling structured fields out of messy text, summarizing, and letting
an agent decide the next step or call the right tool. Wired to your real systems
(CRM, email, sheets, databases), with the prompts and error handling done properly.
Python scripts & data — Custom Python to fetch, clean, and manage data from APIs and
multiple sources, and store it in a database (PostgreSQL) so it's organized and
queryable instead of scattered across spreadsheets.
Dashboards & internal tools — Simple dashboards to actually see and manage that data,
built with Streamlit or lightweight Python (Django/FastAPI). A clear view of what the
automation is doing and the data it handles.
I'm a good fit when:
- You're doing repetitive manual work a workflow could handle
- You want AI built into an automation (classify, extract, decide, route), not a standalone AI project
- You need data fetched, organized into a database, and shown on a simple dashboard
- You want automations that run reliably on their own
Tell me what you're doing manually and I'll tell you how to automate it.
Tech: n8n, Make, Zapier, Python, Pandas, OpenAI/LLM APIs, REST APIs, Webhooks,
PostgreSQL, Streamlit, Django, FastAPI, Google Sheets, Excel
Steps for completing your project
After purchasing the project, send requirements so Abhishek can start the project.
Delivery time starts when Abhishek receives requirements from you.
Abhishek works on your project following the steps below.
Revisions may occur after the delivery date.
Project Planning & Requirement Analysis
Review the project scope, clarify requirements with the client, and create a structured development plan including API endpoints, database schema, and dashboard layout.
Backend & API Development
Implement the backend using Python (Django/Flask/FastAPI), build secure and scalable APIs, integrate databases, and ensure smooth communication between frontend and backend.