https://tinku-rece.onrender.com
- Team Lead: Alan Subhash - Muthoot Institute Of Technology And Science
An interactive AI Avatar named Tinku that listens to users through speech and text and provide them with relevant video clips from different movies and play various songs or suggest playlists that best defines the mood of the user.
Ever felt like your emotions are too complex for mere humans to understand? Tinku is here to solve the "problem" of humans having to guess what they feel like watching or listening to based on their moods. No more stressful decision-making! Imagine a world where you don't have to scroll endlessly through playlists or movie recommendations to find the perfect match for your vibe — Tinku does it all for you, instantly tuning into your feelings (even those you didn’t know you had!). Finally, an AI that "gets you" when you're just too tired to get yourself.
Enter Tinku, your virtual mood guru! Tinku uses state-of-the-art mood-detection (okay, mostly guesses) to figure out what you need, even when you don’t. Feeling sad? Tinku’s got a movie clip to melt away the blues. Overflowing with happiness? Here comes a celebratory playlist! Whether you're stressed, annoyed, or having a full-blown existential crisis, Tinku is ready with an overly specific video clip or the exact song you didn’t know you needed. And hey, because scrolling through Netflix or Spotify is way too 2023, right?
For Software:
Languages Used: -Python (for backend and mood analysis) -HTML/CSS, JavaScript (for frontend interface)
Frameworks Used: -Flask (for the web server and API handling)
Libraries Used: -spaCy (for natural language processing and mood analysis) -SpeechRecognition (for speech-to-text functionality) -Spline (for the 3D avatar viewer) -Fetch API (for communication between frontend and backend)
Tools Used: -Visual Studio Code (development environment) -GitHub (version control and project repository) -Spline Editor (for creating the 3D avatar model)
For Software:
https://github.com/ALAN20SIG/interactive-character.git
https://tinku-rece.onrender.com
For Software:
the interactive page of the website
Output links for youtube and spotify according to users mood on keep notes
tinku.2.o.final.mp4
--Tinku Analyzes the mood from the interactions of the user through speech or text and provides with corresponding songs and videos to change or maintain the mood.
Made with ❤️ at TinkerHub Useless Projects
