Projects using OpenAI in BengaluruProjects using OpenAI in Bengaluru
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SideQuest - My official entry
SideQuest - My official entry for the @Contra HQ x @Bubble challenge!🌸 Category - Lifestyle Concept - SideQuest is a lifestyle app that helps people break out of repetitive routines through small real-world adventures called “Side Quests.” The app encourages users to explore new places, reconnect socially, rediscover creativity, and build healthier habits through simple daily challenges inspired by mindfulness, exploration, and seasonal living. Inspired by the feeling of spring, growth, renewal, and fresh starts, SideQuest encourages users to step outside, try new experiences, and slowly transform their daily routines through small meaningful actions. The calming nature-inspired design and growth-based progression system reflect the energy of the season. Core Features - * Curated daily side quests * XP, streaks, and progression system * Community photo and reflection sharing * Personalized onboarding * Premium seasonal quest packs * Calm, mobile-first user experience Monetization Strategy - SideQuest includes a premium paywall system that unlocks exclusive quest packs, seasonal adventures, self-growth journeys, and customization features. Premium packs include: * Creative Recharge * Social Confidence * Weekend Adventures * Spring Reset * Digital Detox Bubble’s native in-app purchase support enables a scalable subscription and premium content model. Why It Matters - Many people today feel stuck in repetitive, screen-heavy routines. SideQuest helps users feel more present, adventurous, creative, and connected through small achievable experiences that make everyday life feel meaningful again. Built With Bubble - Built fully using Bubble’s native mobile editor as a polished mobile-first experience for the Bubble Spring Hackathon. App Name: Side Quest Branch Version ID : version-test Preview Link: https://side-quest-46585.bubbleapps.io/version-test/api/1.1/mobile/preview?debug_mode=true&preview_view=Home
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Cover image for AI-Powered Lead Qualification System —
AI-Powered Lead Qualification System — Zero Manual Data Entry Built an end-to-end lead capture and qualification system for a B2B service business using Make.com (http://Make.com), OpenAI GPT-4, and HubSpot. THE PROBLEM: The sales team was manually copying lead data from forms into CRM, losing 6+ hours per day and missing hot leads entirely. By the time a rep reached out, the prospect had already talked to 3 competitors. THE SYSTEM I BUILT: → CAPTURE: Typeform webhook triggers automation the instant a form is submitted → QUALIFY: OpenAI GPT-4 scores lead intent (1-10) based on message content, budget signals, and role seniority → ENRICH: Apollo.io (http://Apollo.io) API appends company size, revenue, tech stack, and LinkedIn URL automatically → ROUTE: Hot leads (score 7+) create HubSpot deals + instant Slack alert to assigned sales rep with full context → NURTURE: Cold leads enter a 7-day email sequence before sales touches them → SYNC: Bi-directional sync between HubSpot and Google Sheets reporting dashboard for real-time pipeline visibility THE RESULTS: • Lead-to-CRM time: 4 hours → 90 seconds • Sales rep prep time per lead: 15 minutes → 30 seconds • Data loss rate: 0% • Sync accuracy: 99.7% TECH STACK: Make.com (http://Make.com) | OpenAI GPT-4 | HubSpot | Apollo.io (http://Apollo.io) | Slack | Google Sheets | Typeform WHY THIS WORKS: Sales teams shouldn't do data entry. This system ensures every lead is scored, enriched, and routed before the prospect even closes the Typeform tab.
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