At i-deate, our project, KnowIdea, addresses the challenge founders face in finding the right co-founders who truly align with their vision, values, and project needs. KnowIdea leverages a smart matchmaking algorithm to assess skills, experience, preferences, and compatibility, generating personalized match scores. Founders can set specific criteria such as required skills, location, and work style, while potential co-founders specify their ideal projects. The platform then suggests the most compatible matches and facilitates communication for effective vetting and collaboration.
What sets KnowIdea apart is the integration of smart contracts using AVALANCHE, which automatically create agreements between founders and co-founders, ensuring clarity, transparency, and trust. Once matched, teams can utilize built-in collaboration tools like shared task boards and goal-setting templates. With KnowIdea, we aim to simplify the co-founder discovery process, making it easier for entrepreneurs to build successful, cohesive teams.
During the development of KnowIdea at i-deate, we encountered significant challenges, particularly in integrating blockchain for smart contract creation and incorporating machine learning (ML) into our matchmaking algorithm. Implementing blockchain required us to design secure, transparent contracts while ensuring they could seamlessly interact with our existing infrastructure. Balancing decentralization with efficiency and managing transaction costs were key obstacles.
On the machine learning side, integrating the model into our system to generate accurate, personalized match scores involved fine-tuning algorithms and handling diverse data inputs. Ensuring that our ML predictions remained reliable while scaling and integrating smoothly with other components presented technical hurdles that demanded creative problem-solving and rigorous testing.
Tracks Applied (4)
ETHIndia
RISE Foundation IISER
Gian
Avalanche
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