Develop an AI-powered recommendation engine that enhances music discovery for independent artists by leveraging machine learning algorithms. This project aims to help artists connect with their ideal audience through tailored music suggestions, enhancing user engagement and potentially boosting music sales.
Independent artists looking to enhance their reach and music enthusiasts seeking new and diverse music experiences
Independent artists often struggle to gain visibility in a market dominated by major labels. While listeners crave new music, they often find it challenging to discover fresh talent amid the noise.
Independent artists are highly motivated to improve their visibility and reach due to market competition. They are willing to invest in solutions that promise increased engagement and exposure, directly impacting their revenue streams.
If independent artists cannot effectively reach their target audience, they face reduced opportunities for growth, leading to stagnation in their careers and potential loss of revenue.
Current alternatives include generic streaming service recommendations which lack personalization for independent artists or manual promotion through social media, which is time-consuming and often ineffective.
Our AI-based recommendation system specifically targets the unique needs of independent artists, providing them with a personalized platform that leverages cutting-edge technology to enhance music discovery.
Our go-to-market strategy involves partnerships with independent music platforms, social media marketing campaigns targeting music enthusiasts, and collaborations with music influencers to drive awareness and adoption of the recommendation system.