γεια ,
I hope this message finds you all well , I am writing this message for
regarding Google Summer of Code for organisation Open technology alliance -
GFOSS "ellark" . I want to contribute in project "PersonalAIs: Generative
AI Agent for Personalized Music Recommendations
" because I have good experience in GenAI technologies which I gained my
internship at Airport Authority of India as Machine Learning engineer . I
know how to build a Retrieval augment generation model which included use
of llm , transformers,embedding , etc . I have good experience with nlp and
sentiment analysis which we can use in building personalised music
recommendation AI agent .
I have experience with backend technologies also , so integrating Spotify
api wont be any trouble .
Here is what I have planned ,
I have attached an image so that we can get quick idea .
Flow Implementation for PersonalAIs
1. User authentication and data retrieval
• User logs in via Spotify API OAuth
• Fetch user data including liked songs, playlists, and listening history
• Extract audio features such as tempo, energy, mood, and danceability
2. NLP based mood and sentiment analysis
• Process user text input with Deepset R1, BERT, Huggingface, and VADER
• Identify mood, sentiment, and emotional context
3. Generative AI for conversations
• Use Deepset R1 on Huggingface for chatbot like interaction
• Interpret queries like give me something energetic
• Adjust recommendations based on real time feedback
4. Personalized music recommendation system
• Hybrid filtering approach
o Collaborative filtering suggests songs based on similar users
o Content based filtering matches tracks to user preferences
o FAISS vector similarity search finds mood related song embeddings
o Reinforcement learning improves recommendations over time
5. Real time conversational modifications
• User modifies preferences like make it more chill
• AI dynamically re filters playlist with adjusted energy, mood, and genre
6. Backend processing
• FastAPI in Python or Express.js in Node.js handles
o AI model execution
o Spotify API requests
o User session and playlist management
7. Frontend UI for user interaction
• React.js or Streamlit for a chatbot style interface
• Real time playlist updates and feedback from AI
8. Data storage and deployment
• Store user preferences and past interactions in PostgreSQL or MongoDB
• Deploy on local server or AWS for scalability
Feel free to contact me anytime , If more details needed .
Thanks !
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