Computer & IT · Blockchain · Final year project
Identifying Fake Products Through A Barcode-Based Blockchain System
A .NET system that detects counterfeit products using barcodes and blockchain. The manufacturer registers each product's details on the blockchain with a unique barcode, and customers scan it to confirm the product is genuine.
What is the Identifying Fake Products Through A Barcode-Based Blockchain System project?
A .NET system that detects counterfeit products using barcodes and blockchain. The manufacturer registers each product's details on the blockchain with a unique barcode, and customers scan it to confirm the product is genuine.
Key facts
- Domain
- Blockchain projects
- Type
- Final year project · Advanced
- Suitable for
- Diploma capstone, BCA, B.Sc, B.E / B.Tech final year and MCA
- Build time
- 6 to 8 weeks
- Tech stack
- Blockchain
- Guidance from
- ₹7,999 (Starter Plan)
How the Identifying Fake Products Through A Barcode-Based Blockchain System works
- Users connect a wallet such as MetaMask to the web front end.
- Each record (for example a product batch, certificate or vote) is written by a Solidity smart contract on an Ethereum test network.
- The contract checks who is allowed to add or update data, so only authorised accounts can write.
- Anyone with the record ID can verify its full history, which cannot be edited afterwards.
Block diagram
User
Student / customerAdminWeb front end
MetaMaskBlockchain
SolidityData
Ethereum (Ganache / Sepolia testnet)Tech stack and tools
| Layer | Tools |
|---|---|
| Blockchain | Solidity, Ethereum (Ganache / Sepolia testnet), Truffle or Hardhat, Web3.js / Ethers.js, MetaMask |
Any of these can be swapped for the stack your college prescribes. Requirements: a laptop with 8 GB RAM, and free, open-source tools only.
How much does this project cost?
| Option | What you get | Cost |
|---|---|---|
| Starter Plan | 100% working source code, Basic project report (40–60 pages) PDF, PPT presentation | ₹7,999 |
| Advanced Plan | 100% working source code, Black book / project report (100–150 pages) PDF, Step-by-step code explanation | ₹9,999 |
| Premium Plan | 100% working source code, GitHub + zip delivery, Black book (100–200 pages) | ₹11,999 |
No GST and no hidden charges. Use the cost calculator for a quote with your deadline and add-ons, or see all plans.
Download the project brief (PDF)
Summary, working, tech stack and viva questions on one branded PDF to show your guide or team. To get it developed, contact us on WhatsApp.
What you submit with this project
- Source code with setup guide and a GitHub repository
- Project report or black book in your university's chapter order (DFD, ER, UML diagrams, test cases)
- Presentation for the review and final viva
- Synopsis for topic approval, if your college asks for one
Computer & IT viva questions on this project
What is the aim of the Identifying Fake Products Through A Barcode-Based Blockchain System project?
A .NET system that detects counterfeit products using barcodes and blockchain. The manufacturer registers each product's details on the blockchain with a unique barcode, and customers scan it to confirm the product is genuine.
Explain the working of your project in short.
Users connect a wallet such as MetaMask to the web front end. Each record (for example a product batch, certificate or vote) is written by a Solidity smart contract on an Ethereum test network. The contract checks who is allowed to add or update data, so only authorised accounts can write. Anyone with the record ID can verify its full history, which cannot be edited afterwards.
Why is blockchain used in this project instead of a normal database?
Records on a blockchain are shared across nodes, linked by cryptographic hashes and cannot be altered without consensus. This gives tamper-proof history and removes the need to trust one central administrator.
What is a smart contract?
A program stored on the blockchain that runs automatically when its conditions are met. In Ethereum it is written in Solidity, compiled to bytecode and executed by every node, so its result cannot be changed by one party.
Which SDLC model did you follow?
We followed an iterative (incremental) model: requirements and a basic design first, then modules built and tested one by one, with the guide's feedback after each review. It suits a project where requirements become clearer as we build.
How did you test the project?
Unit testing of each module, integration testing of the complete flow and system testing with real inputs. Test cases with expected and actual results are listed in the report, including invalid inputs.
What are the limitations and future scope?
The current version is tested on a limited dataset or number of users. Future work includes deploying on the cloud, adding more features or languages, improving accuracy with more data and building a mobile version.
Related projects
Academic use: Project Buddyy offers mentoring, guidance and reference material for learning. You stay responsible for following your institution's academic integrity rules and for understanding everything you submit.
Want to build Identifying Fake Products Through A Barcode-Based Blockchain System?
Send your college, deadline and team size. We confirm the scope, cost and what you will submit.
