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πŸš€ School Point System

πŸ—‚οΈ Project Overview

  • Student ID: 20250017
  • Name: κ°•μž¬ν™˜
  • Project Title: School Point System
  • Summary (3–4 sentences): The School Point System is a system that evaluates students' behavior and attitude. This is a blockchain-based school point management system that ensures transparent and tamper-proof merit/demerit records. An integrated AI module predicts point trends, offers personalized guidance, and detects unusual patterns to support fair and effective student management.

1. 🧩 Problem: What Problem Are You Solving?

  • Data Manipulation Risk – Administrators or insiders could alter or delete records without leaving a trace.
  • Lack of Transparency – Students, parents, and even teachers cannot independently verify if records are accurate.
  • Dispute Resolution Difficulty – When conflicts arise, proof of the original record is difficult to establish.
  • Server Downtime Risk – If the central server fails or crashes, point assignments and historical records cannot be issued or recovered, leading to permanent data loss.

2. πŸ’‘ Solution: Your Proposed Approach

I propose a Blockchain-based School Points Management System integrated with AI-driven insights.

Blockchain Layer - All point transactions (plus/minus) are recorded on a public or permissioned blockchain.

AI Layer - Point Trend Prediction – AI analyzes historical merit/demerit data to forecast each student’s point trajectory, identifying those who may soon cross critical thresholds (e.g., suspension or reward eligibility). - Personalized Guidance – Based on prediction results, AI recommends tailored actions for each student (e.g., encouragement messages, mentoring suggestions, or corrective programs). - Pattern Recognition – Detects unusual activity, such as sudden large penalties from a single source, which may indicate bias or errors.

Each record is immutable and timestamped, ensuring no one can secretly modify it.

Workflow Example

  1. Teacher submits a point adjustment request via the web app.
  2. Valid transactions are recorded on the blockchain, ensuring immutability.
  3. Students, parents, and teachers can view the real-time point history and AI-generated guidance in the dashboard.
  4. AI updates the student’s projected point graph and generates any necessary guidance suggestions.

3. πŸ”— Why Blockchain?

  • Immutability – Once recorded, points cannot be altered or deleted without creating a transparent audit trail.
  • Transparency – All authorized users can view the same source of truth.
  • Decentralization – Eliminates the risk of single-point failure or unilateral data control.

In this case, the system does not require a cryptocurrency token because the focus is on record integrity and transparency, not economic incentives.

4. πŸ› οΈ MVP or Prototype

  • Current status: Idea Only
  • Key features you implemented (1–2 short paragraphs)
  • Code repository: GitHub
  • Screenshots or demo images:
    (Attach 2–3 images if available)

5. πŸ“¬ Submission to Hackathons or Grant Programs

  • Name of the program you submitted to: Onchain Summer Awards
  • Submission link
  • Short summary of your submitted description
  • (Optional) Screenshot of the submission confirmation or page image

6. πŸ€” Reflection & Future Work

Learnings

I have learned about some key terms in Solana development

PDA (Program Derived Address)

  • A special address generated by a Solana program that cannot be owned by a regular private key. It is commonly used for program-owned accounts and ensures predictable, secure account addresses.

Localnet / Devnet / Mainnet

  • Localnet: A locally run Solana cluster for testing without network fees or internet connection.
  • Devnet: A public Solana test network with free tokens for development and testing.
  • Mainnet: The live Solana network where real SOL is used and transactions have real-world consequences.

Rent-Exempt

  • In Solana, accounts must maintain a minimum balance to remain active. If an account’s balance meets the rent-exempt threshold, it will not be charged periodic rent fees and will persist indefinitely.

Biggest Challenges

Structing Data Structures

  • To minimize the rent-exempt fee on Solana, I had to design and optimize the account data structure efficiently while ensuring it still met all functional requirements.

Future Improvements

Studying About Rust

  • I plan to deepen my understanding of Rust to write more efficient, secure, and maintainable Solana programs.

7. πŸ“š References

  • Related projects
  • Any other relevant papers, blogs, or documentation