Automated WhatsApp AI Agent for College Consultancy Success

Automated WhatsApp AI Agent for College Consultancy SuccessAutomated WhatsApp AI Agent for College Consultancy Success

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Akib Khan

• Mar 28

Built a fully automated WhatsApp AI agent for Kolzeh — India's leading free college admission consultancy with 5,000+ students. The agent runs 24/7 handling lead qualification, college recommendations, fee analysis, appointment booking via Google Calendar, scholarship guidance, and human escalation. Features parent mode detection, lead scoring (0–100), daily follow-up automation via cron, and session memory across conversations. Built on n8n, DeepSeek + GPT-4o fallback, MongoDB Atlas, and Meta Cloud API. Handles the entire top-of-funnel automatically in English and Hinglish.

AI Automation MongoDB npm Redis

Abhishek Verma

• Mar 30

Architected the technical platform for an AI-driven EdTech startup specializing in masterclass delivery named 'Unique Mantra GenZ Academy'

Directed the end-to-end development of the organization's digital presence, managing both front-end implementation and overall content strategy.

Built and integrated a custom AI model (‘MantraAI’), deploying a free-access chat interface for users.

AI Development React Native Development Web Development Google Gemini Python Visual Studio Code

Pratik Singh

• Mar 30

Product design for a [name redacted] AI-Powered Interview Platform that helps recruiters monitor, analyse and judge their interviewee's skillset. It was really fun working one this. We made over 200+ Screen and iterations based on the feedbacks we collected from the user testing each friday. I need to share more from this project i think.

UI Design UX Design Product Design

Korey Poggemoeller

• Mar 30

Senior Software Engineer & AI Automation

I designed and developed this AI-powered lead automation system as a Senior Software Engineer specializing in AI automation and workflow engineering. The system automatically monitors a lead database and triggers a processing pipeline whenever a new lead appears. It intelligently filters and qualifies leads based on predefined conditions, then uses AI to generate contextual messages and summaries. This automation eliminates manual lead handling, improves response speed, and ensures that only high-quality leads move through the workflow.

After the AI generates the message, the system formats and parses the content before automatically sending notifications to internal teams through communication channels such as Slack and email. The workflow then updates the database with the processed results, keeping all records synchronized. This project demonstrates my ability to build scalable automation systems that integrate databases, AI services, and communication platforms to create efficient, real-time business workflows.