Floki Madini
Scaling business operations with custom AI & automation.
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Currently building Spice Scribe for the #Bubble Free-For-All 🛠️
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Can't keep up with every AI newsletter that hits my inbox. So I automated it.
Pulls the emails, an AI agent summarizes them, Buffer posts the thread. This one just ran itself.
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Project Title
Real-Time AI Voice Assistant & Conversational Agent
About This Project
Overview
Developed a end-to-end Python-based Real-Time AI Voice Assistant capable of listening to spoken input, processing natural language prompts through an LLM, and generating low-latency, natural voice responses.
The Challenge
Traditional voice tools often feel clunky due to latency delays, poor silence detection, and rigid conversational flows. The goal was to build a fluid, interactive voice interface that detects voice activity automatically and generates human-like audio responses in real time.
Key Features & Implementation
Dynamic Voice Activity Detection (VAD): Integrated real-time audio threshold monitoring to automatically detect when the user starts and stops speaking without manual hotkeys.
Speech-to-Text Processing: Transcribes live audio input directly into structured text prompts for immediate LLM consumption.
Contextual Response Generation: Maintained conversational context to generate accurate, natural, and helpful responses using an LLM pipeline.
Low-Latency Text-to-Speech: Synthesized generated text into fluid audio output, playing responses back automatically.
Tech Stack & Libraries
Language: Python 3.11
Core Libraries: Pygame (Audio Playback), SpeechRecognition / STT Engine, TTS Engine
Development Tools: Visual Studio Code
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AI-Powered Business Intelligence & Opportunity Engine
The Challenge
The AI landscape evolves at an incredible pace, making it difficult for entrepreneurs, agencies, and professionals to stay informed without spending hours reading articles, testing tools, and tracking industry trends. Valuable opportunities often get buried under information overload, making it challenging to identify actionable insights that can drive business growth.
The Solution
I built an AI-powered Business Intelligence Engine that automatically monitors leading AI news sources, filters and organizes updates, and transforms raw information into actionable insights. Instead of manually checking multiple websites and communities, the workflow delivers curated AI news, business opportunities, learning resources, and content ideas in one centralized daily briefing.
How It Works (The Data Pipeline)
Data Collection
The workflow continuously monitors multiple AI news and industry sources through RSS feeds, including official AI company blogs, technology publications, research platforms, and developer communities.
Content Aggregation
n8n automatically collects the latest articles and updates, consolidating them into a single processing pipeline.
AI Processing
An LLM analyzes each update, generating:
Concise summaries.
Key takeaways.
Business implications.
Potential automation opportunities.
Content and marketing ideas.
Intelligent Categorization
Articles are classified into categories such as:
AI News
New Tools
Research
Automation
Business Opportunities
Learning Resources
Knowledge Delivery
The processed insights are compiled into a personalized digest and delivered through the chosen communication channel, creating a streamlined AI intelligence dashboard.
Tech Stack & Architecture
Workflow Orchestration: n8n
Data Sources: RSS Feeds from leading AI publications and communities
AI Intelligence: LLM-powered summarization and analysis
Content Processing: Automated filtering and categorization
Delivery: Telegram / Email / Custom notification channels
Key Technical Problems Solved
Multi-Source Data Aggregation
Unified multiple independent RSS feeds into a centralized information pipeline, eliminating the need to manually monitor various platforms.
Information Overload Reduction
Implemented AI-powered summarization and categorization to convert lengthy articles into concise, actionable insights.
Automated Opportunity Discovery
Transforms general AI news into practical business opportunities and potential automation use cases for agencies and entrepreneurs.
Continuous Monitoring
Provides an always-on intelligence system that automatically captures and processes new developments without manual intervention.
Business Impact
Save Time
Reduces the need to manually browse dozens of AI news sources every day.
Stay Current
Ensures users remain informed about the latest AI developments, tools, and industry trends.
Generate Business Opportunities
Identifies practical AI applications and automation ideas that can be turned into client services or products.
Continuous Learning
Creates a daily learning habit by delivering digestible AI insights and emerging technologies.
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