Read&Lead

Read&Lead is an AI-based literary-themed travel & immersive cultural experience–sharing platform that connects a city’s history, culture, and places through books.

Overview

1. Background & Need
2. Service Vision
3. Core Value Proposition
4. Key Features
5. Data & APIs Used
6. Target Customers
7. Initial Target Regions
8. Technical Overview
9. Expected Impact
10. Phased Roadmap
11. Success Metrics
12. Operations & Ethics
13. Conclusion

Background & Need

• Trends like “Text-hip” and the Seoul International Book Fair are strengthening the movement to enjoy books as trendy cultural content.
• Influenced by works set in real/historic spaces (e.g., author Han Kang), demand is growing for organically linking works–spaces–travel.
• However, there is a lack of mechanisms to seamlessly connect the reading experience with the actual settings of the works, and non-metropolitan cities need revitalized tourism content.
• This project uses books as the starting point to integrate travel, experiences, and sharing, thereby supporting regional cultural branding and reframing urban identity.

Service Vision

“Turn the experience of reading into the experience of walking.” An experience-expanding travel platform where readers encounter beloved lines in real spaces and collect/share that emotion as content and badges.

Core Value Proposition

1. Literature-centered journey design: Curate destinations from books to deepen emotional immersion.
2. Real-time location interaction: Upon arrival, automatically provide quotes, author notes, and background context.
3. Collectible map (Gamification): Earn book-cover and literary badges at each stop → build your own literary map.
4. Seamless shift to creation/sharing: “Four-cut” photo templates, photo+quote cards, and auto-scrap turn personal records into cultural content.
5. Expandable content graph: Extend from literature to film/drama/musicals/local cuisine as a multi-domain graph.

Core Value Proposition

1. Literature-centered journey design: Curate destinations from books to deepen emotional immersion.
2. Real-time location interaction: Upon arrival, automatically provide quotes, author notes, and background context.
3. Collectible map (Gamification): Earn book-cover and literary badges at each stop → build your own literary map.
4. Seamless shift to creation/sharing: “Four-cut” photo templates, photo+quote cards, and auto-scrap turn personal records into cultural content.
5. Expandable content graph: Extend from literature to film/drama/musicals/local cuisine as a multi-domain graph.

Key Features

1) Book-based AI Travel Curation

• Represent book metadata (ISBN/author/keywords) and local culture/landmarks with vector embeddings and recommend via similarity matching.
• Support bidirectional suggestions: “Book → Places/Courses/Exhibitions/Events” or “Destination → Related Books.”

2) Location-based Literary Experience (Essential)

• Use GPS/Maps API and geofencing to trigger arrival events that push quotes/audio/background explanations.
• Provide immersive on-site experiences like line narration, scene summaries, and author interviews.

3) Book–City Collectible Map (Priority #2)

• Collect book covers/author autographs/special badges upon visits; introduce rarity/seasonal badges.
• Visualize journeys on the literary map and compare with friends.

4) Four-cut Literary Travel Content (Priority #3)

• Auto-composition template with the book line on top and on-site photo below. Auto-insert hashtags/location/book metadata.

5) SNS-linked Scrap (If feasible)

• Link Instagram/blog to auto-clip photos/quotes/locations → create a literary travel album.

6) Performances/Exhibitions/Recommended Books (Add-on)

• Recommend performances/exhibitions/book talks by schedule/location; suggest themed books to read together.

7) Content Domain Expansion (Add-on)

• Expand courses to film/drama locations, musical settings, local cuisine, and historical sites

Data & API Used(Examples)

Additionally, expand to region-limited searches (Jeonbuk/Jeonju/festivals/local cuisine, etc.) and audio/history guides for foreign visitors.

Target Customers

• Literature lovers & experience-oriented consumers (women in their 20s–40s focus): Active in independent bookstores, transcription, and quote sharing.
• Taste-driven travelers & emotion-led SNS consumers: Use four-cut photos/curation as self-branding tools.

Initial Target Regions (Pilot)

• Jeonju: Hoonbul, Choi Myeong-hee Literature Museum, links to traditional cultural assets and film sites.
• Tongyeong: Literary city identity with Kim Chun-soo, Yu Chi-hwan, etc.
• Gwangju: Human Acts and the May 18 historical spaces.
• Jeju: To the Warm Horizon (alt: I Do Not Bid Farewell), linked to the 4·3 Peace Memorial/ museums.

Technical Overview

• Recommendation: SBERT/KoBERT embeddings + FAISS/Elasticsearch similarity search, complemented by collaborative filtering.
• Geo-services: Geofencing (radius/dwell/re-entry rules), Haversine distance calculations.
• Content Engine: Mapping places → quotes/audio/images; ranking by season/time/preferences.
• Database: Graph/relational hybrid for book–place–event (Neo4j + PostgreSQL recommended).
• Backend: FastAPI/Node, OAuth2 (SNS), cache (Redis), message queue (Celery/RQ).
• App/Web: React/React Native, Kakao Map SDK, push (Firebase/OneSignal).

Expected Impact

• Regional cultural branding: Reinterpret urban identity with literature at the core and upgrade tourism content.
• Increased visits/stay: Real-time experiences, collectible maps, and performance linkages boost revisits/time-on-site.
• UGC expansion: Automated four-cut/scrap enables organic promotion and virality.
• Data assetization: Build a city cultural database via a book–place–event knowledge graph.

Phased Roadmap (6 + 6 months)

Phase 1 (0–6M): Jeonju Pilot

• Core features: (1) Book-based curation (2) On-site experience (3) Collectible map (beta)
• Data: Integrate Jeonju’s key literature/heritage/exhibition APIs; build baseline graph
• Metrics: MAU, arrival notification CTR, badge count, pilot NPS

Phase 2 (7–12M): Expand to Gwangju · Tongyeong · Jeju

• Feature expansion: Four-cut/SNS scrap, performance/exhibition recommendations, multilingual support
• Partners: MOUs with local governments/tourism foundations/regional bookstores/literature museums; launch travel packages
• Metrics: City-wise dwell time, course completion rate, partnership revenue

Success Metrics (KPI)

• Recommendation accuracy/satisfaction (save/completion rate), on-site notification engagement (audio/quote open rate)
• Badge acquisition/map shares, UGC volume/SNS reach
• Local partner revenue/package sales, return visit rate

Operations & Ethics

• Copyright/Quotations: Partnerships with publishers/rightsholders; manage lawful quotation scope and storage.
• Personal Data: Minimize/anonimize location data; consent/opt-out mechanisms.
• Historical/Memorial Sites: Adhere to tone/copy guidelines for remembrance spaces.

One-Page Summary (Executive Summary)

• A platform that integrates travel/experience/sharing with books as the starting point.
• Differentiation via AI curation + location interaction + collectible maps.
• Jeonju pilot → expansion to Gwangju/Tongyeong/Jeju; partnerships with municipalities/tourism bodies/travel agencies.
• Achieve both regional cultural branding and data assetization.