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    POHPIH

    A smart mobile app for hip-hop dancers that combines real-time geolocation with AI-powered discovery and learning — surfacing nearby events, training spots, personalized tutorials, and community networking tools in one ecosystem.

    POHPIH 5 months Team of 6 engineers

    10+

    AI Features

    Real-time

    Video Analysis

    Global

    Community

    iOS & Android

    Platforms

    POHPIH

    The Challenge

    Hip-hop dancers lacked a unified platform that combined event discovery, skill development, community networking, and professional growth. Existing solutions were fragmented — dancers had to juggle multiple apps for learning, finding events, and connecting with peers.

    !

    No single platform combined geolocation-based event discovery with AI-powered learning for dancers

    !

    Dancers needed real-time video analysis and annotation to improve technique and footwork

    !

    Community features like live voting, networking, and battle organization were scattered across different platforms

    !

    Monetization through premium masterclasses and payment gateways required seamless integration

    Our Approach

    We took a dancer-first approach, collaborating closely with hip-hop communities to understand their workflows — from practice sessions and battles to event discovery and professional growth. The app was designed for speed, visual impact, and intuitive navigation.

    1

    Community Research & UX Design

    Engaged with 40+ hip-hop dancers and event organizers to map their journey — from discovering events to submitting battle videos. Designed a bold, dark-themed UI reflecting hip-hop culture.

    2

    AI-Powered Video Analysis

    Built an AI engine for real-time video annotation that evaluates consistency, rhythm, footwork, and energy — giving dancers actionable feedback with scored breakdowns.

    3

    Geolocation Discovery Engine

    Developed intelligent location-based recommendations surfacing nearby events, training spots, schools, and opportunities based on user activity and preferences.

    4

    Content & Payment Platform

    Integrated AI-driven content curation for personalized tutorials and masterclasses, with a seamless payment gateway for premium content access and event registrations.

    The Solution

    A comprehensive mobile platform for hip-hop dancers featuring AI video analysis, geolocation discovery, community tools, and premium learning — all in one ecosystem.

    ✓

    AI-powered video analysis with real-time annotation for rhythm, footwork, consistency, and energy scoring

    ✓

    Geolocation-based discovery of events, training spots, schools, and battle opportunities

    ✓

    Personalized AI content curation with tutorials, educational videos, and premium masterclasses

    ✓

    Community profiles, networking, and direct messaging for dancers worldwide

    ✓

    Live voting system for dance battles and competitions

    ✓

    Interactive maps showing nearby dance events and hotspots

    ✓

    Event calendar with registration and reminder notifications

    ✓

    Integrated payment gateway for premium content and event access

    Tech Stack Used

    React NativeTypeScriptPythonTensorFlowNode.jsPostgreSQLAWSStripeGoogle Maps APIFirebase

    Results & Impact

    POHPIH created a first-of-its-kind unified ecosystem for hip-hop dancers, combining AI intelligence with community-driven features to accelerate learning and professional growth.

    Skill Analysis

    Manual feedback→AI-scored in seconds

    Event Discovery

    Word of mouth→GPS-powered feed

    Learning

    YouTube searching→Curated AI playlists

    Community

    Fragmented socials→Unified platform

    Battle Voting

    In-person only→Live digital voting

    Monetization

    No revenue model→Premium subscriptions

    "POHPIH changed how I train and connect with the dance community. The AI video analysis gives me instant feedback on my footwork and rhythm — it's like having a coach in my pocket!"

    Marcus T.

    Professional B-Boy

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