A curated list of industry-relevant final year projects that showcase real-world engineering skills. Each project includes a reference GitHub repository to help you understand the architecture and implementation.
Originally published at blog.akshatcodes.com
A curated list of industry-relevant final year projects that showcase real-world engineering skills. Each project includes a reference GitHub repository to help you understand the architecture and implementation.
Description
Build a production-ready MCP (Model Context Protocol) server capable of exposing tools to AI agents. Learn tool registration, communication protocols, and scalable agent architectures.
Tech Stack
Reference
π https://github.com/PrefectHQ/fastmcp
Description
Develop a multi-agent system where specialized AI agents collaborate on complex workflows such as research, planning, writing, and reviewing.
Tech Stack
Reference
π https://github.com/crewAIInc/crewAI-examples
Description
Build an AI chatbot capable of answering questions from PDFs, Word files, CSVs, and text documents using embeddings and semantic search.
Features
Reference
π https://github.com/AlaGrine/RAG_chatabot_with_Langchain
Description
Fine-tune a lightweight open-source LLM using QLoRA and Unsloth on a domain-specific dataset.
Skills Learned
Reference
π https://github.com/Dalageo/fine-tuning-llms
Description
Develop a production-grade authentication service featuring JWT authentication, PostgreSQL, Docker, automated testing, and CI/CD.
Features
Reference
π https://github.com/fastapi/full-stack-fastapi-template
Description
Implement a payment backend that prevents duplicate transactions using idempotency keys and database locking.
Concepts
Reference
π https://github.com/zgabrieloliveira/idempotent-payment-gateway
Description
Automate application deployment from GitHub to Kubernetes using GitHub Actions.
Topics
Reference
π https://github.com/IAMDevBox/github-actions-k8s-deploy
Description
Provision AWS infrastructure with Terraform while performing chaos experiments to test application resilience.
Topics
Reference
π https://github.com/jorgechato/platform-tf-chaos
Description
Create an intelligent monitoring platform using Prometheus, Grafana, Loki, and an LLM to detect anomalies and summarize root causes.
Tech Stack
Reference
π https://github.com/KeerthiKeswaran/AI-Powered-Observability-and-Log-Analysis-System
Description
Train machine learning models to classify network traffic and detect cyber attacks in real time.
Topics
Reference
π https://github.com/vicky60629/Network-Intrusion-Detection-System
Description
Develop a web vulnerability scanner capable of crawling websites, parsing forms, injecting payloads, and generating security reports.
Features
Reference
π https://github.com/rgr-001/web-vuln-scanner
Description
Build an accessibility application that translates Indian Sign Language into readable text using MediaPipe and deep learning.
Tech Stack
Reference
π https://github.com/MaitreeVaria/Indian-Sign-Language-Detection
Description
Develop a real-time online examination monitoring system using computer vision.
Capabilities
Reference
π https://github.com/vardanagarwal/Proctoring-AI
Description
Process financial transactions in real time using Kafka, Spark Structured Streaming, and machine learning for fraud detection.
Pipeline
Kafka β Spark Streaming β ML Model β Grafana Dashboard
Reference
π https://github.com/iitravindra/streaming_fraud_detection
Description
Study a popular developer utility and create a smaller, focused tool that solves a real problem you encounter during development.
Examples
Reference
π https://github.com/di-sukharev/opencommit
A polished, production-ready project demonstrates significantly more engineering ability than several unfinished tutorial projects.

Hey, I'm Akshat β a full-stack dev, AI tinkerer, and relentless builder who documents every step of the journey. I share what I learn in real-time β dev tutorials, design insights, and AI + tech news.
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