DR Finance Consultancy – Loan & Financial Services Website

Project Overview :-

I designed and developed a modern financial services website for DR Finance Consultancy. The goal was to create a professional and trustworthy online presence that helps users explore loan solutions, insurance services, and financial consultation options.

The website was designed with a focus on credibility, lead generation, and seamless user experience across desktop and mobile devices.

The Challenge :-

Financial service businesses need to establish trust quickly while presenting multiple services in a simple and organized manner.

Key challenges included:

Creating a professional financial brand identity

Showcasing multiple loan products clearly

Designing a mobile-friendly experience

Improving lead generation through strategic CTAs

Maintaining a clean and trustworthy visual hierarchy

Solution :-

I developed a responsive website featuring:

✅ Modern hero section

✅ Loan service categorization

✅ Insurance partner showcase

✅ Mobile-first responsive design

✅ Clear call-to-action buttons

✅ Professional financial industry branding

✅ User-friendly navigation

I love this

AI Rent & Arrears Follow-Up Automation: Property Management Dashboard

A working demo of an arrears management dashboard for property managers. It detects overdue tenants, ranks who to follow up first, and drafts safe, factual tenant messages from stored data.

Chasing late rent is slow and inconsistent. Managers often don't know whom to contact first, and messages are written from scratch each time. I built a demo system that turns rent and payment data into a clear daily workflow:

Rent data → arrears detection → priority → follow-up message → escalation → resolution

What it does:

Dashboard: total rent due, collected, outstanding, overdue tenants, high-risk accounts and follow-ups due today.

Arrears queue: every overdue tenant with property, amount, days overdue, priority and a suggested action.

AI Arrears Prioritization: automatically ranks who the manager should contact first, based on days overdue, amount owed and past payment behaviour.

Account analysis: shows the amount outstanding, days overdue, payment history, communication log and a recommended next action for any tenant.

Tenant message generation: drafts a polite reminder, follow-up or escalation message matched to the account's stage.

Manual stage control: the manager moves each account through Reminder, Follow-up, Escalation and Resolved.

Tech stack: Python, Flask, SQLite, HTML, CSS, JavaScript, with optional local AI through Ollama and a rule-based fallback. It needs no paid APIs and runs fully offline.

Demo data: 5 properties, 20 units and tenants, six months of payment history and prior follow-up records, so the dashboard looks like a live system.

Honest framing: I'd label it a "working demo" or "prototype" rather than a production system. It uses seeded sample data and has no real SMS or email sending or login yet. Those would be the natural next steps for a client.