Use Case 2025 Personal Project

Building Jarvis — AI-Powered Personal Assistant

How I built a custom AI assistant using Claude API and Python Flask to automate my daily workflow, manage emails, sync calendars, and reclaim 10+ hours every week.

10+ Hours Saved/Week
4 API Integrations
100% Custom Built
30s Avg Response Time
My Role Product Designer & Developer

Concept, architecture design, Python development, API integrations, and UI/UX

localhost:5000
Jarvis AI Dashboard - Personal assistant interface showing greeting and quick actions

Jarvis dashboard with conversational AI interface and quick action modules

The Challenge

Automating the repetitive

As a Growth & Ops specialist, I spend countless hours on repetitive tasks: checking emails, managing calendar invites, processing data, and context-switching between tools. I needed a solution that could understand context, act autonomously, and integrate seamlessly with my existing workflow.

The Goal: Build a personal AI assistant that goes beyond simple automation — one that understands my priorities, manages communications intelligently, and provides actionable insights from my data.

Pain Points Addressed

  • Calendar chaos — multiple calendars, missed meetings, scheduling conflicts
  • Email overload — 100+ emails daily, important messages buried
  • Time drain — 2+ hours daily on administrative tasks
  • Context switching — jumping between 10+ tools daily

Claude API

Anthropic's Claude for natural language understanding and intelligent responses

Python Flask

Lightweight web framework for the dashboard and API endpoints

Gmail API

Read, send, and manage emails programmatically with OAuth2

Google Calendar API

Sync events across Google Calendar and Apple Calendar

Technical Deep Dive

System Architecture

Jarvis is built as a modular Flask application with intelligent caching, real-time API integrations, and a conversational AI layer powered by Claude.

👤
User
→
🤖
Flask Dashboard
→
🧠
Claude API
📧
Gmail
📅
Google Calendar
🍎
Apple Calendar
💾
Cache Layer
app.py — Intelligent Caching
# Cache configuration (TTL in seconds) CACHE_TTL = { 'calendar_events': 60, # 60 sec cache 'gmail_emails': 30, # 30 sec cache 'calendar_list': 300, # 5 min cache 'briefing_data': 30, # 30 sec for briefing } def get_cached(key, fetch_func, force_refresh=False): """Get data from file-based cache or fetch if expired""" # Smart caching to reduce API calls # and improve response times
Capabilities

Core Features

Email Intelligence

Full Gmail integration with OAuth2 authentication. Read, categorize, and respond to emails with AI-powered suggestions.

  • Smart email categorization
  • Priority inbox filtering
  • Draft response suggestions
  • Batch processing capabilities

Calendar Sync

Unified view of Google Calendar and Apple Calendar events. Never miss a meeting or double-book again.

  • Multi-calendar aggregation
  • Conflict detection
  • Daily briefing generation
  • Meeting preparation notes

AI Chat Interface

Natural conversation with Claude AI. Ask questions, get summaries, and execute actions through simple chat commands.

  • Context-aware responses
  • Conversation history
  • Action execution via chat
  • Multi-turn interactions

Analytics Dashboard

Visual dashboard showing productivity metrics, email statistics, and daily activity trends.

  • Real-time statistics
  • Conversion tracking
  • Activity visualization
  • Custom reporting
Impact

Measurable Results

After deploying Jarvis as my daily driver, the productivity gains were immediate and significant.

10+ Hours Saved Weekly
80% Faster Email Processing
0 Missed Meetings
4 Integrated Services

Development Timeline

Week 1

Architecture & Setup

Designed system architecture, set up Flask application, and configured Google OAuth2 authentication.

Week 2

Gmail Integration

Built the Gmail connector with full CRUD operations, email parsing, and intelligent categorization.

Week 3

Calendar Sync

Integrated Google Calendar API and Apple Calendar via CalDAV. Built unified event view and conflict detection.

Week 4

Claude AI & Dashboard

Integrated Claude API for conversational interface. Built the visual dashboard with real-time updates and caching layer.

Interested in AI Automation?

I help businesses implement AI-powered solutions to automate workflows and boost productivity. Let's discuss how I can help transform your operations.

Get in Touch