Menu
AkshatCodes
  • Log
  • Builds
  • About
Use dark theme
  • homeHome
  • constructionBuilds
  • personAbout
  • bookmarkLibrary
Designed with discipline.
AKSHATCODES Β© 2026
GithubX / TwitterInstagramLinkedInEmail
Designed with discipline.
/
Β·

/blog/final-year-projects-that-get-you-hired
Build LogJuly 25, 2026Β·4 min read
Save
Share

πŸš€ Final Year Projects That Get You Hired

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.


πŸ€– Agentic AI & LLM Systems

1. MCP Tool Server

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

  • Python
  • FastMCP
  • FastAPI
  • Docker

Reference

πŸ”— https://github.com/PrefectHQ/fastmcp


2. Multi-Agent Pipeline

Description

Develop a multi-agent system where specialized AI agents collaborate on complex workflows such as research, planning, writing, and reviewing.

Tech Stack

  • CrewAI
  • Python
  • OpenAI
  • LangChain

Reference

πŸ”— https://github.com/crewAIInc/crewAI-examples


3. Retrieval-Augmented Generation (RAG) System

Description

Build an AI chatbot capable of answering questions from PDFs, Word files, CSVs, and text documents using embeddings and semantic search.

Features

  • PDF Loader
  • Chunking
  • Embeddings
  • Vector Database
  • Retrieval Chain

Reference

πŸ”— https://github.com/AlaGrine/RAG_chatabot_with_Langchain


4. Fine-Tuned Small Language Model

Description

Fine-tune a lightweight open-source LLM using QLoRA and Unsloth on a domain-specific dataset.

Skills Learned

  • PEFT
  • LoRA
  • QLoRA
  • Hugging Face
  • Model Deployment

Reference

πŸ”— https://github.com/Dalageo/fine-tuning-llms


βš™οΈ Backend Engineering

5. Authentication + DevOps Microservice

Description

Develop a production-grade authentication service featuring JWT authentication, PostgreSQL, Docker, automated testing, and CI/CD.

Features

  • JWT Authentication
  • Role-Based Access
  • PostgreSQL
  • Docker
  • GitHub Actions
  • Swagger Documentation

Reference

πŸ”— https://github.com/fastapi/full-stack-fastapi-template


6. Production Payment Gateway

Description

Implement a payment backend that prevents duplicate transactions using idempotency keys and database locking.

Concepts

  • Payment Processing
  • Idempotency
  • Concurrency
  • Transactions

Reference

πŸ”— https://github.com/zgabrieloliveira/idempotent-payment-gateway


☁️ DevOps & Cloud

7. CI/CD Pipeline to Kubernetes

Description

Automate application deployment from GitHub to Kubernetes using GitHub Actions.

Topics

  • Kubernetes
  • GitHub Actions
  • Docker
  • RBAC
  • Blue-Green Deployment

Reference

πŸ”— https://github.com/IAMDevBox/github-actions-k8s-deploy


8. Terraform + Chaos Engineering

Description

Provision AWS infrastructure with Terraform while performing chaos experiments to test application resilience.

Topics

  • Terraform
  • AWS
  • Infrastructure as Code
  • Chaos Engineering

Reference

πŸ”— https://github.com/jorgechato/platform-tf-chaos


9. AI-Powered Observability Dashboard

Description

Create an intelligent monitoring platform using Prometheus, Grafana, Loki, and an LLM to detect anomalies and summarize root causes.

Tech Stack

  • Prometheus
  • Grafana
  • Loki
  • Python
  • LLM

Reference

πŸ”— https://github.com/KeerthiKeswaran/AI-Powered-Observability-and-Log-Analysis-System


πŸ”’ Cybersecurity

10. ML-Based Intrusion Detection System

Description

Train machine learning models to classify network traffic and detect cyber attacks in real time.

Topics

  • Machine Learning
  • Flask
  • Network Security
  • IDS

Reference

πŸ”— https://github.com/vicky60629/Network-Intrusion-Detection-System


11. Automated Vulnerability Scanner

Description

Develop a web vulnerability scanner capable of crawling websites, parsing forms, injecting payloads, and generating security reports.

Features

  • Web Crawling
  • SQL Injection Testing
  • XSS Detection
  • Report Generation

Reference

πŸ”— https://github.com/rgr-001/web-vuln-scanner


πŸ‘οΈ Computer Vision

12. Gesture-Based Accessibility Tool

Description

Build an accessibility application that translates Indian Sign Language into readable text using MediaPipe and deep learning.

Tech Stack

  • MediaPipe
  • TensorFlow
  • OpenCV

Reference

πŸ”— https://github.com/MaitreeVaria/Indian-Sign-Language-Detection


13. AI Proctoring System

Description

Develop a real-time online examination monitoring system using computer vision.

Capabilities

  • Eye Tracking
  • Head Pose Detection
  • Mouth Detection
  • Person Counting

Reference

πŸ”— https://github.com/vardanagarwal/Proctoring-AI


πŸ“Š Data Engineering

14. Streaming Fraud Detection Pipeline

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

πŸ”— https://github.com/iitravindra/streaming_fraud_detection


πŸ› οΈ Developer Tools

15. Build a Developer Tool You Actually Use

Description

Study a popular developer utility and create a smaller, focused tool that solves a real problem you encounter during development.

Examples

  • Git automation
  • CLI productivity tools
  • Code generators
  • GitHub workflow helpers

Reference

πŸ”— https://github.com/di-sukharev/opencommit


πŸ’‘ Tips

  • Build one project exceptionally well rather than many incomplete ones.
  • Write clean documentation with a detailed README.
  • Deploy your project to the cloud.
  • Include Docker support.
  • Add automated tests.
  • Create a demo video.
  • Showcase architecture diagrams.
  • Highlight measurable impact and engineering decisions in your portfolio.

A polished, production-ready project demonstrates significantly more engineering ability than several unfinished tutorial projects.

Akshat Singh

Written by Akshat Singh

35K+ followers
code

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.

← Older
5 Weekend Projects That'll Teach You More Than a Month-Long Internship

Comments

progress_activityLoading comments…