Full Stack Development Projects in HyderabadFull Stack Development Projects in HyderabadBuilt and deployed a production-grade multi-tenant WhatsApp AI lead qualification platform for real estate, using LangGraph, Meta Cloud API, and OpenAI.
An AI agent (not a script) qualifies leads through natural conversation — understanding property type, location, budget, and timeline. Runs on a 7-node LangGraph state machine, not hardcoded if-else flows. Includes multi-language support (English, Hindi, Telugu, Tamil), automated follow-ups, vector-based semantic search for vague queries, real-time broker alerts, and multi-tenant isolation with AES-256 encrypted credential storage. High-Performance Organic Foods Storefront & Headless Google Sheets CMS
Executive Summary:
Engineered a lightweight, high-conversion digital storefront and catalog for Indus Natural Store, an artisanal retailer specializing in pure ghee, raw organic honey, premium dry fruits, and cold-pressed organic staples. The solution eliminated recurring monthly SaaS platform subscriptions while enabling non-technical owners to manage products, pack sizes, and prices instantly through Google Sheets.
The Challenge:
The brand required a fast, clean digital catalog to display organic food products, purity certifications, and varying pack sizes (e.g., 250g, 500g, 1L) without the high overhead, complex inventory databases, or checkout friction typical of monolithic e-commerce platforms.
Technical Architecture & Execution:
• Headless Google Sheets Engine: Connected the frontend directly to a structured Google Sheets backend via REST APIs, allowing the client to update stock, seasonal honey harvests, batch ghee pricing, and promotional banners in real time without redeploying code.
• Lightweight & Dependency-Free UI: Built with Vanilla JavaScript, semantic HTML5, and modern CSS to deliver sub-second mobile load speeds and zero third-party framework overhead.
• Conversational WhatsApp Order Routing: Implemented dynamic cart state management with one-click WhatsApp routing, automatically converting cart selections, item weights, and total values into a pre-formatted, error-free order message.
• Dynamic Filtering & Pack-Size Selectors: Built instant client-side category sorting (Ghee, Honey, Dry Fruits, Cold-Pressed Oils) and responsive pack-variant selectors for swift customer checkout.
Tech Stack & Tools:
Vanilla JavaScript, HTML5, CSS3, Google Sheets API, REST APIs, WhatsApp Integration.
Business Outcomes:
• Zero recurring monthly e-commerce platform fees.
• 100% no-code inventory updates managed entirely through spreadsheets.
• Direct-to-consumer conversational ordering with frictionless mobile conversion. 🔷 Project Title:
InternHub – AI-Powered Internship Marketplace
🔷 Category:
🛒 Marketplace
🔷 What the App Does:
InternHub is an AI-powered internship marketplace designed to connect students with relevant internship opportunities posted by companies. The platform allows students to create profiles, upload resumes, and apply for internships, while companies can post internship listings and manage applications efficiently.
The system also includes an AI-based matching feature that evaluates the compatibility between a student’s skills and internship requirements, providing a match score to improve decision-making for both students and recruiters.
🔷 Key Features:
👨🎓 Student Side:
User registration and login
Profile creation with skills and resume upload
Browse internship listings
Apply for internships with one click
View application status (Pending / Accepted / Rejected)🏢 Company Side:
Company registration and login
Post internship opportunities
Define required skills, role, and location
View and manage student applications
Shortlist or reject candidates
🤖 AI Feature:
AI-based Skill Matching System
Generates a match score between student profile and internship requirements
Helps students understand their suitability for roles
Improves internship recommendations
📊 Dashboard System:
Separate dashboards for Students and Companies
Clean and intuitive UI for easy navigation
Centralized application tracking system
🔷 How It Was Built:
The application was built using Bubble AI App Builder as the foundation. The initial AI-generated internship marketplace provided the basic structure, including authentication, job listings, and dashboards.
On top of this base, enhancements were made by:
Adding AI-based skill matching logic
Improving UI layout for a modern dashboard experience
Strengthening application workflow (apply → review → decision)
Structuring a more realistic marketplace flow
Why This Project:
InternHub solves a real-world problem faced by students — finding relevant internships efficiently. Many students apply randomly without knowing their suitability. This platform introduces AI-driven matching to improve both opportunity discovery and hiring efficiency.
Tech/Platform Used:
Bubble AI (No-code development platform)
AI logic for matching system
Database-driven marketplace structure
Impact:
InternHub simplifies internship discovery, improves application quality, and reduces the gap between students and companies by introducing intelligent matching between skills and opportunities. 
