Wealthdoor

Smart Wealth Management & Goal-Based Investing Platform

Introduction Of The Project

Wealthdoor is a next-generation fintech platform designed to simplify investing, automate goal-based portfolios and help users make informed financial decisions through intelligent risk profiling. Built for new-age investors, the platform blends powerful analytics with a simple, mobile-first experience.

The app empowers users to determine their risk capacity and risk appetite by answering guided questions. Based on these insights, Wealthdoor categorises users into Aggressive, Moderate, or Conservative profiles. These profiles then automatically generate investment portfolios distributed across stocks, bonds, ETFs and other curated instruments.

Users can set financial goals, assign investment amounts, initiate SIPs, complete digital KYC and track performance through interactive dashboards and candlestick charts similar to leading trading platforms.

As the demand for democratized investing grows, Wealthdoor needed a scalable architecture, seamless user experience,and strong backend foundation to support thousands of users with real-time market data and automated portfolio building.

The project is a fusion of fintech intelligence, investment automation,and mobile-first simplicity, ensuring every investor - beginner or expert - can confidently manage wealth.

Problem Statement

Key Pain Points

Generic investing apps lacked personalized investment planning for USA investors.
Users were confused by complex risk assessment models and unclear portfolio suggestions.
Manual paperwork during onboarding and KYC reduced conversion rates.
Lack of real-time data visualization (charts, indicators) limited awareness.
Fragmented systems created inefficiencies and caused early drop-offs during onboarding.
Traditional apps failed to align portfolio recommendations with personal risk profiles.

Key Metrics

Onboarding Drop-off70%

Risk Profile Accuracy35%

Investment Completion Rate22%

Goal Tracking Consistency30%

Portfolio Understanding40%

The Solution

Intelligent Risk Profiling Engine

A custom-built assessment framework that evaluates users’ financial behaviour, investment experience, liquidity needs and emotional risk tolerance. This algorithm classifies users into: Conservative, Moderate, Aggressive. This personalisation dramatically improves portfolio accuracy and investor confidence.

Automated Goal-Based Portfolio Builder

Users can create financial goals such as: Retirement, Education, Emergency Fund ,Custom Goals. The system recommends: Monthly Investment Amount, Portfolio builder, Asset allocation mix. The portfolio dynamically distributes funds into stocks, bonds, ETFs, based on the user’s risk class.

Fully Digital KYC & Onboarding

Paperless onboarding flow: ID verification, Bank linking via Plaid, Personal and Address Details, This eliminated manual intervention and improved onboarding success

Real-Time Trading with Candle Charts

A trading UI inspired by modern platforms like Groww: Candlestick charts, Live ticks, Volume indicators, Buy/sell flows, Watchlist management. Users can make informed decisions based on real-time trends.

A unified wealth management ecosystem that delivers personalized portfolios, automated investing, robust trading tools and a frictionless mobile-first experience.

Our Approach

Discovery Phase

Industry research on USA investing flows
Competitor analysis
Risk-profiling framework study

Deliverable:

Research Insights Document

Design and Planning Phase

User personas created
Risk-to-portfolio mapping
Flow design
KYC journey mapping

Deliverable:

Functional Specs & User Stories

Development and Integration Phase

Investment goal workflows
Dashboard wireframes
Charting interface prototypes

Deliverable:

Wireframes, UX Task Flows

Testing and Deployment Phase

Modern mobile-first design
Clean API orchestration
Scalable microservice architecture

Deliverable:

Final Product Release

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OneClick Expertise in Various Full-Stack Combinations

FastAPI + PostgreSQL

Purpose: Reliable transactional data layer. How it works: FastAPI exposes APIs, PostgreSQL stores user accounts, portfolios, goals, transactions, SIP histories. Use case: All financial data, orders, investments, audit logs.

Next.js + PayloadCMS

Purpose: Flexible admin and CMS system. How it works: PayloadCMS provides content models; Next.js provides the UI. Use case: Education content, risk guides, FAQs, onboarding steps, banners.

PayloadCMS + MongoDB

Purpose: High-speed content management. How it works: PayloadCMS uses MongoDB for storing dynamic content and admin metadata. Use case: Articles, disclaimers, notifications, investment education.

Team Structure

Role	Responsibility
Business Analyst	Requirement gathering, mapping financial flows
Project Manager	Delivery management & client coordination
Solution Architect	System architecture and technology strategy
UX/UI Designer	App design & goal-based journeys
Flutter Developer	Mobile app development
Backend Developer	Python/FastAPI microservices
CMS Developer	Next.js/PayloadCMS
QA Engineer	Testing & validation
DevOps Engineer	AWS deployment & CI/CD

Technology Used

Core Languages & Runtime

Python
Dart

Frameworks & Servers

FastAPI
Uvicorn
Flutter

Databases

PostgreSQL

ORM & Data Access

SQLAlchemy
Psycopg2

State Management

GetX

UI & Styling

Material Design
Cupertino Widgets
Custom Themes

Networking & API

HTTP
Swagger (OpenAPI)

Authentication & Security

JWT
Social Login
Authentication handled at BFF service level (Java)

Scheduling & Background Jobs

APScheduler

Data Validation

Pydantic
Local Storage
Shared Preferences

Push Notifications

Firebase Cloud Messaging (FCM)

Animations & Media

Flutter Animations (Implicit & Explicit)
Lottie for Flutter

Payments & Subscriptions

Stripe Flutter
Plaid
In-App Purchases

Cloud & DevOps

Docker
AWS EKS
AWS ECR

Testing & Quality Assurance

Widget Testing
Integration Testing

Design Samples

Comprehensive design system and development samples demonstrating the technical excellence and visual appeal of the Outfitter platform.

Competitor Analysis

Parameter	Competitor	Our Solution	Opportunity
Core Offering	Generic investment apps with limited personalization	Risk-based portfolio creation + goal mapping	Introduce AI-driven advisory, and rebalancing
Customer Experience	Basic Goal Investment and trading UI	Personalized dashboards, real-time charts, curated recommendations	Build smart nudges & insights based on user behavior
Communication	Generic push/SMS alerts	Richer KYC notifications	Expand to email automation
Admin Controls	Standard data dashboards	CMS + admin tools with portfolio & KYC oversight	Add advanced analytics & customer lifecycle tracking
Mobile Responsiveness	Good UI but not goal-focused journeys	Mobile-first UX tailored for investing and risk capture	Build micro-interactions improving conversion
Risk Profiling	Basic questions	Advanced scoring logic with custom portfolio allocation	Risk drift detection

Project Outcomes

Reduced Manual Intervention

Automated risk scoring and goal planning to streamline processes.

Eliminated Portfolio Misallocation

Achieved high accuracy with algorithmic risk-based investment suggestions.

Accelerated Onboarding

Optimized KYC and risk assessment processes, reducing drop-offs by 40%.

Boosted Repeat Investment

Enhanced engagement by 33% through personalized portfolio nudges

Improved Financial Clarity

Provided real-time portfolio analytics and optimized allocations for better decision-making.

Key Outcomes Metrics

Key Outcomes Metrics	Before Implementation	After Implementation
Manual Data Handling	85%	5%
Risk Profiling Accuracy	45%	92%
Repeat Investments	30%	63%
Portfolio Recommendation Accuracy	50%	88%
Server Reliability	70% uptime	99.5% uptime