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Trailer: Compilation of all 8 Lakshmi

LAKSHMI NFT

 

  • LAKSHMI NFT is an Indian-mythology and culture inspired project that brings the blessings of the goddess Lakshmi in form of financial incentives, assured current and future value and many rewards.​

  • Lakshmi NFT consists of 3D Lakshmi models with different rarities. The rarity of each NFT is defined by the number of Lakshmi present in the video clip and the tier of the music allotted during the random allocation process.

    • Rarest NFT = All 8 Lakshmi + Ganesha + Tier 1 Music​

    • Most common NFT = Just 1 Lakshmi + Tier 5 Music

  • So, with all the permutations and combinations of different models and music, Lakshmi NFT had a total of 5555 NFTs

  • Each Lakshmi NFT has its own unique GPA (gold procuring ability) that decides the individual earnings of that NFT. The higher the GPA, the higher is the earning. Also, the higher the GPA, the rarer is the NFT.

  • Play to earn model where NFT holders can take part in Vijayi Dash (an obstacle course game). The game rewards will offer returns from up to 0.5x to 3x based on their leaderboard standings.

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  • Work: ​

    • Envisioned the entire NFT project with the Founder of the company.

    • Successfully launched Lakshmi NFT which generated over 560K $ in sales and got sold out in just 20 days after launch.

    • Directed the art for the Lakshmi NFT. Came up with the voxel art style and format with artists. Thoroughly researched and ensured a correct depiction of goddess models according to Indian mythology.

    • Provided feedback and assisted the art team on Magica Voxel to expedite the art production and exchange of ideas.

    • Designed a video recording system in Unity to automate the NFT generation process for all rarities. 

    • Designed Vijayi Dash, an obstacle course that encloses sets of varying obstacles. Modelled the leaderboard system for Vijayi Dash to rank and reward Lakshmi NFT holders. Designed the demo level and its blockout with an environment artist for the lite paper.

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  • Tools used:​

    • 3D assets - Magica Voxel, Blender, Maya

    • Video - Unity

 
 

©2018 by Mithun khanjir

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