Peepin
Website URL : N/A
GooglePlay URL : https://play.google.com/store/apps/details?id=com.peepin.android&hl=en
ApplePlay URL : https://itunes.apple.com/in/app/peepin-nightlife-discovery/id1153298384?mt=8
Peepin is your ultimate nightlife discovery platform! They take pride in serving as your go-to guide for all things nightlife, providing comprehensive information about various bars and pubs near your location. Whether you're looking for a cozy spot for dinner or an exciting place to party, Peepin has got you covered. Their platform is designed to offer seamless and efficient access to a wide range of options, ensuring that you find the perfect place to unwind and enjoy your evenings.
Scope of Work
Our scope of work for Peepin's project is to enhance user performance and accessibility through our development services. Our goal is to address the challenges faced by the application and improve its overall functionality. To achieve this, we will implement a robust and efficient unique crowd detection system to provide accurate and real-time crowd information. Additionally, we will enhance the live music detection tool, ensuring it efficiently identifies live music events. Through our expertise in technology and development, we aim to transform Peepin into a cutting-edge nightlife discovery platform that provides unmatched user satisfaction and reliable information.
Our Solution
Through our expertise in technology and development, we successfully transformed Peepin into a feature-rich and user-friendly platform, providing unmatched user satisfaction and reliable information for nightlife discovery.
Our solution for Peepin's project involved the following services and technologies:
- Developed a robust crowd detection system using machine learning algorithms to provide accurate and real-time crowd information for bars and restaurants.
- Improved the live music detection tool, ensuring it efficiently identifies live music events in different venues.
- Enriched the platform with detailed information about restaurants and bars, offering users a seamless and informative experience.
- Configured FFmpeg to capture live streams from cameras set in partner bars and restaurants. We processed the feeds using Raspberry Pi to identify the music and live stream the bar's overall ambiance.
- Utilized a combination of Android, iOS, Java, Mean stack, and Swift technologies to create a cutting-edge nightlife discovery platform that enhances user performance and accessibility.