## 5 Conclusions  
The SPARK-IT platform introduces a framework that addresses challenges within innovation ecosystems by combining blockchain infrastructure, AI-driven expertise matching, \begin{table}
\begin{tabular}{l c c c} \hline \hline
**Description** & **Method** & **Endpoint URLa ** & **Duration (ms)** \\ \hline Access the account information & GET & /api/account & 13 \\ Authenticate & POST & /api/authenticate & 164 \\ Obtain the user profile & GET & /api/user-profiles/me & 46 \\ Update the user profile & PUT & /api/user-profiles/me & 17 \\ Create a business project & POST & /api/bp & 148 \\ Obtain the list of business projects & GET & /api/bp/me & 19 \\ Obtain the details of a business project & GET & /api/bp/[id] & 23 \\ Create a proposal for collaboration & POST & /api/bp/[id]/pfc & 113 \\ Obtain the list of proposals for collaboration & GET & /api/bp/[id]/pfc & 17 \\ Obtain the details referring to proposal & GET & /api/bp/[id]/pfc/[pid] & 38 \\ Various operations performed on a proposal & POST & /api/bp/[id]/pfc/[pid]/* & 27 \\ Obtain the list of found experts & GET & /api/bp/[id]/pfc/[pid]/experts-found & 101 \\ Obtain the list of collaborations & GET & /api/collaborations/me & 33 \\ Obtain a resource from IPFS & GET & /api/ipfs/[id]/[id] & 11 \\ \hline \hline \end{tabular}
\end{table} 
Table 2: Response times for SPARK-IT platform operations (in ms). and decentralized governance models. The system builds a complete business innovation ecosystem on a single digital platform. It improves transparency and participation for innovators, entrepreneurs, mentors, experts, and investors. Furthermore, the system removes the barriers related to intellectual property handling, uneven access to mentorship, and difficult collaboration processes. The research shows several key advantages. Firstly, AI-based algorithms guide innovators toward experts whose skills align with project needs, improving the quality of mentorship and the value of outcomes. Secondly, blockchain technology, together with the legally compliant NDA template provided in the platform, preserves a reliable record of intellectual property exchanges. By using a permissioned network, with nodes hosted at trusted universities and with zero gas fees, we eliminate the typical barriers of traditional public chains, encouraging broad participation. Thirdly, token-based incentives keep users engaged. Innovators and experts earn reputation tokens based on performance and contributions. SparkCoins, which are linked to fiat currency, further encourage knowledge sharing and long-term participation. Additionally, the integrated web scraper provides a simple method to create user profiles from trusted sources, and the encryption module ensures that only authorized parties can access sensitive data. To empower the community further, the platform allows mentors who wish to give back to waive their fees, facilitating access for innovators who may not have the financial means; this allows for building a truly inclusive ecosystem for collaboration and growth. By using a modular, scalable architecture and focusing on usability, SPARK-IT can be adapted to multiple contexts. These may include startup accelerators who want to improve the success rate of mentorship, academic groups seeking to improve research collaborations, and investors looking for emerging opportunities. The design also makes room for integration with data analytics, decision-support systems, and predictive modeling, enabling the platform to evolve alongside changes in markets and technologies. As SPARK-IT advances toward practical deployment, several areas warrant sustained effort. Enhancements in AI algorithms will improve the accuracy and applicability of matches, ensuring that participants gain practical guidance. Revisions to incentive structures and reward mechanisms will help maintain an active community and encourage value exchange among all users.