I'm Hardik Agarwal

AutosysAI - Custom AI Voice Calling Systems

A comprehensive SaaS platform built with Next.js that enables businesses to create custom AI voice calling systems for multiple use cases.

Key Features

• Demo Booking System - Integrated Calendly-style booking for scheduling product demos
• Solution Showcase - Comprehensive display of AI voice solutions including:
  • Agentic Workflows - Visual workflow builder for AI agents
  • Voice AI Systems - Custom voice calling infrastructure
  • Chatbot Integration - AI-powered conversational interfaces
• Pricing Calculator - Interactive cost estimation tool for AI voice systems
• Contact Management - Lead capture and inquiry handling system
• Blog Platform - MDX-powered content management for insights and articles
• Authentication - Sign-in/Sign-up flows for user management
• Dark Mode - Full theme support with next-themes

Tech Stack

• Framework: Next.js 16 with App Router
• Language: TypeScript for type safety
• Styling: Tailwind CSS 4 with utility-first approach
• UI Components: shadcn/ui built on Radix UI primitives
• Animations: Framer Motion for smooth transitions
• Icons: Lucide React icon library
• Content: MDX for rich blog content
• Theme: next-themes for dark/light mode

Architecture Highlights

• Component-based architecture with small, focused files (<100 lines)
• Responsive design optimized for all devices
• SEO-optimized with custom meta tags and Open Graph images
• Performance-optimized with Next.js 16 features
• Accessible UI components following WCAG guidelines

Pages & Routes

• / - Homepage with hero, services, testimonials, and CTA
• /voice-ai - Voice AI solutions showcase
• /chatbots - Chatbot integration features
• /agentic-workflows - Workflow builder demonstration
• /pricing - Interactive pricing calculator
• /contact - Contact form and information
• /blog - Articles and insights
• /careers - Job opportunities
• /playground - Sandbox environment for testing

High-volume AI calling infrastructure with intelligent conversation handling and automated lead qualification.

Autonomous AI Pre-Sales System

An end-to-end AI-driven pre-sales automation system built with n8n workflows that handles lead capture, qualification, nurturing, and scheduling without human SDR involvement.

Key Features

• Real-time Lead Capture - Automated lead ingestion from multiple sources
• Intelligent Qualification - AI-powered lead scoring and qualification logic
• Automated Follow-up - Smart sequencing and nurture campaigns
• CRM Integration - Seamless data sync with CRM systems
• AI Voice Calling - Automated outbound calls for lead engagement
• Appointment Scheduling - Calendar integration for demo bookings

Tech Stack

• Workflow Engine: n8n for automation orchestration
• AI/LLM: OpenAI GPT for conversation and qualification
• Voice AI: Custom voice calling integration
• Integrations: CRM webhooks, calendar APIs, email automation

AI UGC Generation Engine

An automated AI content pipeline that generates marketing scripts, voiceovers, and short-form video content at scale for social media and marketing campaigns.

Key Features

• AI Script Generation - Automated creation of engaging marketing scripts using LLMs
• Voice Synthesis - Text-to-speech conversion with natural-sounding voices
• Batch Production - Generate multiple content pieces simultaneously
• Video Assembly - Automated video creation from scripts and voiceovers
• Content Pipeline - End-to-end automation from concept to final video

Tech Stack

• AI/LLM: OpenAI GPT for script generation
• Voice Synthesis: Text-to-speech APIs for voiceover generation
• Video Processing: Automated video assembly and editing
• Workflow Automation: Batch processing and pipeline orchestration

Impact

Reduced content production time by 70-80%, enabling rapid scaling of marketing content creation without manual intervention.

On-Premise AI Voice Agent Deployment

Deployed privacy-first AI voice agents directly on client infrastructure, enabling secure voice-based automation without reliance on external cloud services.

How It Works

• Voice input is processed locally on client infrastructure
• AI logic and LLM inference run on self-hosted backend
• Responses are generated and returned via voice in real time
• Full system remains within the client's private environment

Tech Stack

• Telephony: Vobiz for voice call handling
• Speech-to-Text: Deepgram transcription engine
• LLM Backend: Groq for fast inference
• Text-to-Speech & STT: LiveKit for real-time voice processing
• Infrastructure: Self-hosted local server deployment
• Voice Processing: Real-time audio streaming and processing

Impact

Enabled enterprise-grade AI automation with full data control, privacy, and infrastructure ownership.

AI Travel Booking Chatbot

Built a conversational AI chatbot that enables users to search, book, and confirm travel services in real time through natural language interaction.

How It Works

• User interacts with AI via chat
• AI interprets intent and queries travel APIs
• Availability and pricing are fetched in real time
• Booking and confirmations are handled automatically

Tech Stack

• LLM APIs: Natural language understanding and generation
• Travel Booking APIs: Real-time availability and booking
• Backend Automation: Automated booking workflow
• Workflow Orchestration: Multi-step booking process management

Impact

Reduced booking friction and automated a significant portion of customer support workload.

Project documentation will be added here.

Anti-Scam Honeypot Intelligence System

An intelligent honeypot system that detects scam activity, collects malicious interaction data, and generates structured reports for government reporting channels.

Key Features

• AI-Powered Detection - Uses LLMs to identify scam patterns in real-time
• Conversational Traps - Engages scammers in realistic conversations to collect evidence
• Memory System - Tracks scammer behavior across multiple interactions using Mem0
• Evidence Collection - Automatically logs and structures malicious activity data
• Automated Reporting - Generates formatted reports for government agencies
• Python Backend - Honeypot server for capturing scam attempts

Tech Stack

• Frontend: Next.js 16 with TypeScript and Tailwind CSS
• AI/LLM: OpenAI GPT with Vercel AI SDK
• Memory: Mem0 for persistent conversation context
• Backend: Python honeypot server for trap endpoints
• UI Components: Radix UI primitives with custom styling