Best 10 Final Year Projects for Students in Andhra Pradesh

Adarsh Tripathi
May 7
4 min read

Updated: 5 days ago

Final year projects are a crucial component in shaping the professional future of engineering and computer science students. In Andhra Pradesh, a hub of growing tech talent and innovation, students are increasingly looking toward real-world, impactful project ideas. Below are the ten best final year projects that blend cutting-edge technologies like machine learning, blockchain, and full-stack development to address modern-day challenges.

1.Cyber Threat Detection Using Machine Learning

With cyber threats escalating daily, this project helps students create a system capable of identifying malicious behavior patterns in network traffic. Using supervised learning algorithms such as Decision Trees, Random Forest, or Support Vector Machines (SVM), the system is trained to detect anomalies, data breaches, ransomware activities, and potential threats in real-time. This project not only enhances understanding of cybersecurity but also boosts skills in data preprocessing, model training, and threat classification.

2.Malware Detection Using Machine Learning and Deep Learning

In this project, students can build a hybrid system combining both machine learning and deep learning for advanced malware detection. While ML techniques can classify known threats, deep learning models such as Convolutional Neural Networks (CNNs) offer high accuracy in identifying complex, zero-day malware. This project includes collecting malware datasets, feature extraction from code samples, and model deployment, offering a robust solution for cyber defense strategies.

3.Cyberbullying Detection System Using Machine Learning

Online harassment and cyberbullying are major concerns, particularly on social media platforms. This project involves developing a natural language processing (NLP)-based system to detect offensive or harmful language in user-generated content. Using sentiment analysis and classification algorithms, students can train the system to flag messages containing cyberbullying indicators. This project is socially relevant and also builds expertise in textual data processing, NLP libraries, and ethical AI applications.

4.Network Anomaly Detection System Project

Network anomaly detection is vital for ensuring a secure IT infrastructure. This project focuses on identifying abnormal behavior in network traffic using unsupervised machine learning methods like K-Means Clustering or DBSCAN. Students will develop a system that continuously monitors the network, detects unexpected spikes or unusual access patterns, and alerts the administrator. This real-time monitoring solution is especially useful for securing enterprise and institutional networks.

5.Full Stack Network Intrusion Detection Using Machine Learning

Combining front-end, back-end, and machine learning, this full stack project offers an interactive platform for network intrusion detection. The system collects network data, runs it through trained ML models to identify potential intrusions, and presents results via a responsive dashboard. Technologies like React.js, Node.js, and MongoDB can be used for development, while ML libraries like scikit-learn and TensorFlow handle the detection logic. This comprehensive solution showcases full stack development along with intelligent threat analytics.

6.Attendance System Using Blockchain Project

Traditional attendance systems can be tampered with, but blockchain ensures transparency and security. This project implements a decentralized attendance system using blockchain technology. Each attendance record is stored as a transaction on the blockchain, making it immutable and tamper-proof. Students will gain hands-on experience with Ethereum, smart contracts using Solidity, and decentralized application (DApp) development. It’s particularly useful for educational institutions seeking reliable and verifiable record-keeping.

7.Fashion E-commerce Website

This project enables students to create a fully functional fashion e-commerce platform where users can browse, add items to cart, and complete purchases securely. Front-end development using HTML, CSS, and JavaScript is combined with back-end scripting in PHP or Node.js, and database support with MySQL or MongoDB. Students can also implement features like product filtering, user authentication, admin panels, and payment gateway integration. This is a perfect project for those interested in web development and UI/UX design.

8.Fake Product Identification by QR Code Using Blockchain

Counterfeit products are a growing issue in consumer markets. This project aims to create a QR code-based system backed by blockchain for verifying product authenticity. Each genuine product is registered on a blockchain ledger with a unique QR code. Scanning the QR code retrieves immutable product information from the blockchain, ensuring authenticity. This is highly applicable in the pharmaceutical and luxury goods industries and gives students experience with blockchain deployment and secure database management.

9.Full Stack Blockchain Voting System Project

Electoral fraud remains a challenge in digital voting systems. This project proposes a secure, transparent, and tamper-proof voting platform using blockchain and full stack development. Voter registration, authentication, and vote casting are all handled through smart contracts. The user interface is developed using modern frameworks like Angular or React, while the back-end supports blockchain interaction. This project not only addresses a major societal issue but also blends political science, cryptography, and software development.

10.URL Phishing Detection System

Phishing attacks target users by mimicking legitimate websites. In this machine learning-based project, students can develop a system that detects malicious URLs in real-time. By analyzing URL features like length, character patterns, and domain information, the ML model can classify the link as safe or phishing. This project builds awareness of digital safety and improves skills in feature engineering, data labeling, and cybersecurity tool creation.

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