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Kannada Filmmaker Narasimha Murthy Crafts India’s 1st AI-Made Movie

The Central Board of Film Certification (CBFC) has granted it a U/A certificate, making it the first Al-generated film approved for theatrical release
Kannada Filmmaker Narasimha Murthy Crafts India’s 1st AI-Made Movie

Kannada director Narasimha Murthy has made waves by creating Love You, which is claimed to be the world's first Al-generated feature film. This marks a fascinating shift in filmmaking—AI is now stepping into creative storytelling in ways we’ve never seen before.

The film was crafted using 30 Al tools, with a budget of ₹10 lakh, and took six months to complete. It features Al-generated characters and 12 songs, with Murthy himself writing the dialogues and lyrics.

While the film is a groundbreaking experiment, Murthy acknowledged some challenges, such as inconsistencies in character features and difficulties in lip-syncing. The Central Board of Film Certification (CBFC) has granted it a U/A certificate, making it the first Al-generated film approved for theatrical release in India.




Narasimha Murthy faced several challenges while creating Love You, the world's first Al-generated feature film. One of the key hurdles is Character Consistency Issues where in maintaining uniform facial features for Al-generated characters throughout the film proved difficult. At times, characters appeared slightly different in different frames.

Lip-Syncing Difficulties is also one of the challenges. Matching Al-generated animations to dialogue was a tough challenge, as the lip movements didn't always align perfectly with spoken words.

Rendering Time & Computational Power was another challenge. Processing Al-generated visuals required substantial computational resources, making the production time-consuming despite its relatively low budget.

Creative Control vs Al Limitations also existed in the film made. While Al provided innovative outputs, Murthy had to manually adjust dialogues, lyrics, and character interactions to ensure coherence and emotional depth.

Despite these challenges, he successfully completed the film within six months using around 30 AI tools. It’s fascinating to see AI pushing the boundaries of storytelling.
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