Nostalgia: Time-Travel Your Style

Concept Overview:

Nostalgia is a fun, immersive mobile app that lets users transform their selfies, videos, or even live camera feed to look like they stepped out of the 1930s, 40s, 60s, 70s, 80s, 90s, and beyond. Users can try iconic makeup, hairstyles, and fashion from each era. Every look is paired with real, purchasable products — makeup brands, vintage-inspired fashion, accessories, and grooming items — so users can easily shop their favorite retro styles.

Core Features

1. Era Transformation Filters:

  • AI-powered facial recognition and AR filters recreate makeup styles iconic to each decade (e.g., 40s pin-up, 70s disco glam, 90s grunge).

  • Hair and accessories change with the era, including hats, glasses, hairstyles, and jewelry.

  • Full-body fashion try-ons with AR: Users can virtually "wear" era-appropriate outfits, from flapper dresses to bell-bottoms to grunge flannels.

2. Live Camera & Photo/Video Upload:

  • Transform selfies or full-body shots in photos.

  • Real-time AR transformations during video calls or recording stories.

  • Option to create and share "then and now" side-by-side comparison images/videos.

3. Product Integration & Shopping:

  • Each makeup element links to real cosmetics from partnered brands (e.g., lipstick from a 50s vintage-inspired collection).

  • Fashion items link to affiliate or direct sales of vintage-style or retro collections.

  • Accessories, grooming kits, and hairstyles link to purchase or booking for salons.

  • In-app shopping cart for seamless purchase without leaving the app.

4. Style History & Inspiration:

  • Each decade includes a mini history and style guide.

  • Tips on how to recreate looks in real life.

  • Inspiration boards and curated collections.

5. Community & Sharing:

  • Users can post their transformations to a community feed.

  • Era-themed challenges and contests (e.g., best 70s disco look).

  • Ability to follow influencers or stylists specializing in retro looks.

6. Personal Style Journal:

  • Save favorite looks and product lists.

  • Build a "Nostalgia wardrobe" wishlist.

  • Receive personalized style recommendations based on preferences.

User Flow Example

  1. Open app → Select decade (e.g., 1980s).

  2. Take a selfie or upload a photo.

  3. Apply makeup, hairstyle, and fashion filter.

  4. Explore product links for makeup and clothes used in the look.

  5. Add items to cart or save for later.

  6. Share transformation with friends or on social media.

  7. Participate in challenges or browse other users’ retro looks.

Monetization

  • Affiliate sales from product links.

  • Brand partnerships for exclusive retro collections.

  • In-app purchases for premium looks, exclusive filters, or personalized styling advice.

  • Sponsored challenges by fashion or beauty brands.

Tech Stack & AI Components

  • AI/ML for face recognition, pose estimation, and skin tone matching.

  • AR filters and body tracking for realistic outfit try-ons.

  • Integration with e-commerce APIs (Shopify, WooCommerce, brand APIs).

  • Social sharing APIs.

  • Cloud backend for user data, style history, and product catalog.

Francesca Tabor