Top 20 Interesting Final Year Computer Science Project Ideas & Topics [2026]

Final year computer science project ideas include Hangman Game, Virtual Private Network (VPN), Wireless Sound Control, Restaurant Booking Website, Ebook Maker, Library Management System, Chatbots, Web Scraping, Smart Farming, Face Detection, and Weather Forecasting Applications.

More advanced projects such as Twitter Sentiment Analysis, Smart City Systems, Uber Data Analysis, Election Data Analysis, SMS Spam Filtering, Handwritten Digit Classification, and Placement Management Systems help you explore AI, machine learning, IoT, cybersecurity, data analytics, and full-stack development. 

In this blog, we’ll explore the most compelling Final Year Computer Science Project ideas for 2026, complete with source code and implementation insights. 

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Final Year Computer Science Projects at a Glance

The following table provides a quick overview of the projects covered in this guide, their difficulty level, and the primary domain they focus on.

Project	Level	Domain
Hangman Game	Beginner	Programming
Virtual Private Network (VPN)	Intermediate	Cybersecurity
Wireless Sound Control	Intermediate	Computer Vision
Restaurant Booking Website	Intermediate	Web Development
Ebook Maker Online	Intermediate	Full-Stack Development
Library Management System	Beginner	Database Management
Building Chatbots	Intermediate	Artificial Intelligence
Web Scraping Using Beautiful Soup	Intermediate	Data Extraction
Fingerprint Reader Attendance System	Advanced	Biometrics & Security
Smart Farming Using IoT	Advanced	Internet of Things (IoT)
Twitter Sentiment Analysis	Advanced	Machine Learning
Face Detection	Advanced	Computer Vision
Weather Forecasting Application	Intermediate	API Development
Smart City Project	Advanced	Smart Systems
Uber Data Analysis	Intermediate	Data Analytics
Car Data Analysis	Intermediate	Data Analytics
Election Data Analysis	Advanced	Data Science
SMS Spam Filtering	Advanced	Natural Language Processing
Handwritten Digit Classification	Advanced	Deep Learning
Placement Cell Management System	Intermediate	Web Application Development

Now explore each project in detail.

Top 20 Final Year Computer Science Projects

Final year projects offer a unique opportunity to apply theoretical concepts in a practical setting, helping students transition from academic learning to real-world problem-solving. Whether you're looking to build a scalable system, contribute to open-source communities, or solve a niche challenge, selecting the right project can give your resume a serious edge.

 

Here are some popular domains to choose your topic from:

• Cryptography
• Artificial Intelligence
• Cloud Computing
• Blockchain
• Machine Learning
• Communications Security
• Android and web development
• Internet of Things or IoT
• Programming
• Database Management

The following list of Top 20 Final Year Computer Science Projects is carefully curated to reflect current industry trends, emerging technologies, and core computer science principles. These projects span various difficulty levels and domains, making them suitable for different interests and expertise. There's something valuable for every aspiring developer.

1.  Hangman Game

The first in our list is the popular hangman game, where the players are to guess a word. They’ll get a fixed number of guesses, and if they can pinpoint the word characters within these guesses, they win.

For this project, you must create a graphic user interface version of the game by declaring a class separately. Taking up a hangman project is ideal if you’re a beginner and want to practise core programming concepts like conditionals, loops, etc.

Tools & Technologies Used:

• Python
• Tkinter for GUI
• OOP (Object-Oriented Programming)

Skills Gained:

• Control structures (loops, conditionals)
• GUI development using Tkinter
• Modular coding using classes and functions

Real-Life Application: Educational games like Hangman are widely used in learning apps to help children improve vocabulary and language skills.

Also Read: Top 20 Fun and Engaging Pygame Games and Projects for Beginners and Advanced Developers

2. Virtual Private Network

VPN or Virtual Private Network is among the most popular final year project ideas for computer science students. VPN offers a secure private network connection to its users over the internet. VPN can access blocked websites by overriding internet censorship, contributing to its enormous popularity. You can design a user-friendly and functional VPN easily with a little research.

Tools & Technologies Used:

• Programming Languages: Python or C++
• Networking Libraries: socket, selectors (Python); Boost.Asio (C++)
• Security Protocols: OpenSSL for encryption

Skills Gained:

• Network programming and socket handling
• Understanding of encryption and secure data transmission
• Client-server architecture and tunneling concepts

Real-Life Application: VPNs are essential for secure communication over public networks. They are widely used by corporations to allow employees secure remote access to internal systems and by individuals to maintain privacy and access region-restricted content.

If you need a better understanding of securing critical data, upGrad’s free Fundamentals of Cybersecurity course can help you. You will learn key concepts, current challenges, and important terminology to protect systems and data.

Also Read: Introduction to Cyber Security: A Complete Beginner's Guide

3. Wireless Sound Control

You can develop a wireless sound control application for your computer science project, offering a contactless user experience. Such an application works on motion sensors, like hand gestures, and you can design one with a Python library. This project will use an interface which dynamically captures hand gestures and lets the users control volume through simple hand movements.

Source: Github

Tools & Technologies Used:

• OpenCV: For real-time video capture and image processing.
• MediaPipe: For accurate hand landmark detection.
• Pycaw: To interface with the system's audio controls on Windows platforms.

Skills Gained:

• Computer vision and real-time image processing.
• Gesture recognition and mapping to system controls.
• Integration of hardware inputs with software applications.

Real-Life Application: Touchless interfaces are increasingly prevalent in modern devices, enhancing user experience in scenarios where physical contact is inconvenient or unsanitary. Implementing gesture-based volume control can be particularly beneficial in environments like kitchens, workshops, or for individuals with mobility challenges.

Also Read: What is Virtual Reality Technology?

4. Restaurant Booking Website

Among our final year computer science project ideas, the fourth one is a restaurant booking website, which will aid restaurants in processing their online business. This project includes everything from online order management to stocking up inventories, table booking, menu management, bill generation, etc. You can use HTML, CSS, Java, etc., where MySQL database controls backend data for website designs.

Source: Github

Tools & Technologies Used:

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Python (Django) or PHP
• Database: MySQL or PostgreSQL

Skills Gained:

• Full-stack web development
• Database design and management
• User authentication and session management

Real-Life Application: Such systems are widely used by restaurants to allow customers to reserve tables online, view menus, and manage orders, enhancing operational efficiency and customer satisfaction.

5. Ebook Maker Online

If you’re up for little experimenting on your computer science final year project, you can develop an ebook maker for online learners. With author and admin logins, ebook makers will allow the learners to create, modify and design ebooks at zero cost. Once the users have filled in the necessary details, they can generate fresh books with personalized content. They can also modify the book title, cover, page numbers etc. You can also limit the number of editable books for a user at a time.

Tools & Technologies Used:

• Frontend: HTML, CSS, JavaScript
• Backend: Java (Spring Boot) or Python (Django)
• Database: MySQL or PostgreSQL

Skills Gained:

• Full-stack web development
• User authentication and role-based access control
• File handling and PDF generation

Real-Life Application: This project facilitates authors and educators in creating, editing, and publishing ebooks without the need for specialized software. It streamlines the ebook creation process, making it accessible to users with varying technical expertise.

You can get a better hang of Java with upGrad’s free Core Java Basics course. It covers variables, data types, loops, and OOP principles to build strong coding skills. Perfect for aspiring developers, students, and professionals transitioning to Java.

6. Library Management System

On the same line as an ebook maker is our next idea for a major project for CSE final year. A Library Management System manages all library functions. It helps a user maintain a fresh book database and keep track of books borrowed by readers with the due dates, thus saving time and offering cost-effectiveness. It also moves the traditional library setup to a digital one, increasing an organisation’s overall efficiency. 

Tools & Technologies Used:

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Java (Spring Boot) or Python (Django/Flask)
• Database: MySQL or PostgreSQL

Skills Gained:

• Full-stack development with CRUD functionality
• Role-based user authentication and session management
• Integration of UI with backend APIs for real-time data handling

Real-Life Application: This project modernizes traditional library operations by digitizing book tracking, borrower management, and catalog maintenance. It is ideal for academic institutions and public libraries looking to reduce manual effort and improve user experience with timely notifications and efficient cataloging.

Are you interested in knowing how to structure, create, and manage databases using MySQL? upGrad’s free Introduction to Database Design with MySQL course covers ER models, normalization, SQL queries, and relational schema concepts.

7. Building Chatbots

Among our mini projects for computer science students is designing chatbots or chatterbots. These applications mimic human conversation via texts or commands, or both. It’s an artificial intelligence feature users can embed in any messaging application. You can deliver pertinent responses to users with your chatbot project.

Source: Github

Tools & Technologies Used:

• Frontend: HTML, CSS, JavaScript, Bootstrap
• Backend: Python (Flask) or Java (Spring Boot)
• NLP Integration: OpenAI GPT-3.5/GPT-4, spaCy, NLTK, or Gemini API

Skills Gained:

• Integration of NLP models for dynamic conversational interfaces
• Backend API development and frontend integration
• Deployment of AI-driven applications with real-time user interaction

Real-Life Application: This project enables the creation of intelligent chatbots that simulate human conversation, providing instant support and information across various platforms. It's applicable in customer service, education, and personal assistant tools, enhancing user engagement and accessibility.

Learn how to create tailored experiences and improve decision-making. Enroll in upGrad’s Online Generative AI Mastery Certificate for Data Analysis Program and build your AI proficiency today!

Also Read: How to Make a Chatbot in Python: A Complete Guide with Source Code

8. Web Scraping Using Beautiful Soup

Web scraping or web crawling is the data and content extraction process from a website using bots. Paired with Beautiful Soup, a library that eases data scraping from websites, it is one of the ideal final year project ideas for computer science students. It makes HTML extraction from websites effortless and works perfectly with parsers to explore ways of navigating, searching, etc. 

Tools & Technologies Used:

• Programming Language: Python
• Libraries: Beautiful Soup, Requests, Pandas
• Data Storage: CSV, Excel, or JSON files

Skills Gained:

• Extracting and parsing HTML content using Beautiful Soup
• Automating data collection from websites
• Structuring and storing scraped data for analysis

Real-Life Application: This project automates the extraction of data from websites, enabling tasks like price monitoring, content aggregation, and data analysis. It's particularly useful for collecting information from sites without APIs, aiding in research, business intelligence, and competitive analysis.

Also Read: What is Web Scraping & Why Use Web String? 

9. Fingerprint Reader 

Noting class attendance is time-consuming, especially for high-strength classes. Thus, you can automate the attendance system by developing an application that reads and compares students’ fingerprints against a more expansive database. Once it finds a match, attendance will be updated in the system automatically. Later you can modify the application by incorporating academic performance evaluation, where the learners can log in with their fingerprints to view their scorecards.

Tools & Technologies Used:

• Hardware: Fingerprint Sensors (e.g., DigitalPersona U.are.U 4500, R305, ZK9500), Arduino, NodeMCU
• Backend: Python (Flask), Java (Spring Boot), PHP
• Frontend: HTML, CSS, JavaScript
• Database: MySQL, PostgreSQL

Skills Gained:

• Integration of biometric hardware with software applications
• Development of real-time attendance tracking systems
• Implementation of secure user authentication mechanisms

Real-Life Application: This project automates attendance tracking by utilizing fingerprint recognition, ensuring accurate and secure record-keeping. It's particularly beneficial for educational institutions and organizations aiming to streamline attendance processes and eliminate manual errors.

Detecting patterns in data forms the basis of data analysis. With upGrad’s free Analyzing Patterns in Data and Storytelling course, you will learn pattern analysis, insight creation, Pyramid Principle, logical flow, and data visualization. It’ll help you transform raw data into compelling narratives.

10. Smart Farming Using IoT Technologies

Smart Farming is a technique which involves automatic irrigation practices and sensors used to monitor agricultural progress, soil temperature, humidity, moisture, etc. With your IoT-based smart farming project, farmers can use precise farming to increase their yield. They can also automate their farming with devices like temperature sensors, light control, spraying activities, etc. 

Source: Github

Tools & Technologies Used:

• Hardware: Arduino, ESP8266/NodeMCU, Raspberry Pi
• Sensors: DHT11/DHT22 (Temperature & Humidity), Soil Moisture Sensor, Ultrasonic Sensor, Gas Sensors (MQ-2, MQ-135), LDR, pH Sensor
• Connectivity: Wi-Fi, MQTT, GSM Modules
• Backend: Python (Flask), Java (Spring Boot), Firebase
• Frontend: HTML, CSS, JavaScript, Flutter
• Database: MySQL, Firebase Realtime Database, Cloud Firestore

Skills Gained:

• Integration of IoT devices for real-time environmental monitoring
• Development of automated irrigation and resource management systems
• Implementation of data analytics for predictive farming insights

Real-Life Application: This project leverages IoT technologies to monitor and manage agricultural parameters such as soil moisture, temperature, humidity, and more. By automating irrigation and providing real-time data, it aids farmers in making informed decisions, optimizing resource usage, and increasing crop yield.

Also Read: Top Applications of IoT in Agriculture - Detailed Study

11. Twitter Sentiment Analysis

Twitter is an attractive platform to showcase one’s thoughts and opinions. Twitter Sentiment Analysis is a text analysis technique recognising emotions within a tweet. This analysis identifies neutral, negative or positive emotions and pinpoints sadness, happiness, etc. For your project, extract sample tweets by locating specific hashtags to perform the analysis in Python and R. 

Tools & Technologies Used:

• Programming Languages: Python, R
• Libraries & Frameworks:
  • Python: Tweepy, TextBlob, VADER, scikit-learn, pandas, matplotlib
  • R: Shiny, ggplot2, e1071
• Data Sources: Twitter API, Twint
• Machine Learning Models: Naïve Bayes, Logistic Regression, Random Forest, DistilBERT

Skills Gained:

• Implementation of NLP techniques for sentiment classification
• Integration with Twitter API for real-time data extraction
• Development of interactive dashboards for data visualization

Real-Life Application: This project analyzes public sentiment on Twitter by classifying tweets as positive, negative, or neutral. It's valuable for businesses and researchers to gauge public opinion, monitor brand reputation, and make data-driven decisions based on social media trends.

Also Read: Twitter Sentiment Analysis in Python: 6-Step Guide

12. Face Detection

Face Detection technology has modified the surveillance efforts of contemporary times. Paired with biometric technology, face detection technology is one popular topic for computer science projects. You can build your project around detecting faces from live videos from webcams or a computer’s video file. You can use OpenCV and Python to design such a project. 

Source: Github

Tools & Technologies Used:

• Programming Language: Python
• Libraries & Frameworks: OpenCV, dlib, face_recognition
• Models: Haar Cascades, HOG (Histogram of Oriented Gradients), CNN (Convolutional Neural Networks)
• Hardware: Webcam or video files for input

Skills Gained:

• Implementation of real-time face detection using computer vision
• Integration of machine learning models for facial recognition
• Development of applications utilizing live video processing

Real-Life Application: This project enables the detection of human faces in real-time using a webcam or video files. It's foundational for applications in surveillance, biometric authentication, and interactive user interfaces.

Also Read: Face Detection Project in Python: A Comprehensive Guide for 2026

13. Weather Forecasting Application

Another popular computer science project idea is a weather forecasting application offering users real-time weather information. Thus, your project will help users plan their daily activities better. The prerequisite for this project includes knowledge of data algorithms and structures along with APIs to retrieve weather data.

Tools & Technologies Used:

• Programming Languages: Python, JavaScript, Java, Kotlin
• APIs: OpenWeatherMap API, Weatherbit API, AccuWeather API
• Frontend: HTML, CSS, React.js, Angular
• Backend: Flask, Node.js, Spring Boot
• Database: MongoDB, Firebase, MySQL

Skills Gained:

• Integration of third-party weather APIs for real-time data retrieval
• Design and development of responsive user interfaces
• Handling asynchronous API requests and data parsing

Real-Life Application: This application provides users with real-time weather updates, including temperature, humidity, wind speed, and forecasts. It assists users in planning daily activities and events effectively by delivering accurate weather predictions.

Also Read: 14 Ways Big Data in Weather Forecasting Makes Predictions Better.

14. Smart City Project

With this project, you will provide travellers with an easy way to get around the town. You can design an application which analyses traffic data and suggests the shortest route to users. It saves travel time and significantly reduces traffic congestion in the city.

Source: Github

Tools & Technologies Used:

• Programming Languages: Python, Java, JavaScript
• APIs & Tools: Google Maps API, Mapbox API, OpenStreetMap, Traffic Data APIs
• Frontend: HTML, CSS, React.js, Vue.js
• Backend: Node.js, Flask, Spring Boot
• Database: MongoDB, Firebase, PostgreSQL
• IoT & Sensors (Optional): Arduino, Raspberry Pi, GPS modules

Skills Gained:

• Traffic data analysis and real-time routing algorithms
• Integration of geolocation and map-based APIs
• Building scalable applications for urban infrastructure

Real-Life Application: This application provides travelers with optimized routes, helping them avoid congested roads. It improves traffic flow across the city, reduces travel time and fuel usage, and supports smarter urban planning initiatives.

Also Read: 12 Ways How Big Data is Revolutionizing Smart Cities

Check out our free technology courses to get an edge over the competition

15. Uber Data Analysis 

Uber data analysis is one of the most innovative mini projects for computer science students. You can use Python libraries to search for the busiest pickup hours, days, or months.

Source: Github

Tools & Technologies Used:

• Programming Languages: Python
• Libraries: Pandas, NumPy, Matplotlib, Seaborn
• Data Sources: Uber ride datasets from platforms like Kaggle

Skills Gained:

• Data cleaning and preprocessing techniques
• Exploratory Data Analysis (EDA) to identify patterns and trends
• Data visualization to represent findings effectively
• Time-series analysis to understand temporal patterns in ride data

Real-Life Application: By analyzing Uber ride data, stakeholders can make informed decisions to improve service efficiency. For instance, identifying peak hours and days can help in allocating resources effectively, planning driver schedules, and enhancing customer satisfaction. Urban planners and transportation authorities can also use these insights to understand commuting patterns and make infrastructure improvements.

You can also build your experience in advanced data technologies with upGrad’s Professional Certificate Program in Data Science and AI. Along with earning Triple Certification from Microsoft, NSDC, and an Industry Partner, you will build Real-World Projects on Snapdeal, Uber, Sportskeeda, and more.

16. Car Data Analysis

This analysis gives users a general idea of cars with specific parameters and specialities. Furthermore, it helps a buyer choose an ideal car for themselves.

Source: Github

Tools & Technologies Used:

• Programming Languages: Python
• Libraries: Pandas, NumPy, Matplotlib, Seaborn
• Data Sources: CarDekho dataset, UCI Car Evaluation dataset, Kaggle car datasets

Skills Gained:

• Data cleaning and preprocessing techniques
• Exploratory Data Analysis (EDA) to identify patterns and trends
• Data visualization to represent findings effectively
• Understanding of automotive market metrics and consumer preferences

Real-Life Application: By analyzing car data, stakeholders can make informed decisions regarding vehicle purchases, marketing strategies, and inventory management. For instance, identifying the most popular car models, understanding price distributions, and recognizing consumer preferences can guide manufacturers and dealers in tailoring their offerings to market demands.

17. Election Data Analysis 

The interactive election poll charts shown on the news channels result from election data analysis. You can use R in your project to analyse the differences in past and present political scenarios. You can further use the same project to predict future changes.

Source: Github

Tools & Technologies Used:

• Programming Languages: R
• Libraries & Packages: tidyverse, ggplot2, leaflet, politicaldata, electionViz
• Data Sources: Election results datasets from official electoral commissions, OpenElections, Comparative Study of Electoral Systems (CSES)

Skills Gained:

• Data cleaning and preprocessing techniques
• Exploratory Data Analysis (EDA) to identify patterns and trends
• Data visualization to represent findings effectively
• Geospatial analysis using interactive maps
• Understanding of electoral systems and voter behavior

Real-Life Application: By analyzing election data, stakeholders can make informed decisions regarding campaign strategies, policy-making, and resource allocation. For instance, identifying regions with shifting voter preferences can help political parties tailor their messages. Researchers can study the impact of socio-economic factors on election outcomes. Citizens can gain a deeper understanding of the political landscape and engage more effectively in the democratic process.

If you’re wondering how to extract insights from datasets, the free Excel for Data Analysis Course is a perfect starting point. The certification is an add-on that will enhance your portfolio.

18. SMS Spam Filtering

With this project, you can help the users filter out junk or spam they receive through awards, advertisements, promotions etc. You can use deep algorithms or TensorFlow to curate such a project.

Tools & Technologies Used:

• Programming Languages: Python
• Libraries & Frameworks: Scikit-learn, TensorFlow, Keras, NLTK, Pandas
• Dataset: SMS Spam Collection Dataset (UCI Repository)

Skills Gained:

• Text preprocessing and feature extraction (e.g., TF-IDF, word embeddings)
• Building and training classification models (Naive Bayes, SVM, Deep Neural Networks)
• Model evaluation and performance optimization

Real-Life Application: This project helps mobile users avoid unwanted spam messages by automatically filtering them, improving communication clarity and security. It is widely used in messaging apps, telecom providers, and email spam filters to reduce nuisance and potential threats.

19. Handwritten Digit Classification

It is a process which helps machines recognise human written digits. It uses CNN algorithms that extract specific input features to recognise the digits. 

Source: Github

Tools & Technologies Used:

• Programming Languages: Python
• Libraries & Frameworks: TensorFlow, Keras, OpenCV, NumPy, Matplotlib
• Dataset: MNIST Handwritten Digit Dataset

Skills Gained:

• Image preprocessing and augmentation
• Designing and training CNN architectures
• Evaluating model performance with accuracy and confusion matrices

Real-Life Application: Handwritten digit classification is widely used in automated systems for reading postal codes, digitizing handwritten documents, bank check processing, and form recognition systems to reduce manual data entry errors.

20. Placement Cell

It is an ideal project which targets students. Packed with admin and user modules, you can develop this project to provide information on ongoing and upcoming college placements. 

Source: Github

Tools & Technologies Used:

• Frontend: HTML, CSS, JavaScript
• Backend: Java (Spring Boot) or Python (Django)
• Database: MySQL or PostgreSQL

Skills Gained:

• Designing role-based access control (admin and student)
• CRUD operations for placement data management
• Implementing notifications and application tracking

Real-Life Application: This system helps streamline college placement processes, allowing students to stay informed about opportunities while reducing manual administrative work for placement cells.

You can also learn to incorporate advanced data technologies with upGrad’s Professional Certificate Program in Data Science and AI. Along with earning Triple Certification from Microsoft, NSDC, and an Industry Partner, you will build Real-World Projects on Snapdeal, Uber, Sportskeeda, and more.

Next, let’s look at how you can choose a project that aligns with your career goals.

Steps to Choosing Final Year Computer Science Project Topics

Sorting through potential topics is the next essential step after choosing your domain of interest. There are tons of ideas for mini projects for computer science students. You can follow these steps to identify your preferred topic:

• Chalk out the project goals. Find out if you want to build or sharpen your existing skill sets.
• Look into real-world issues and do extensive research.
• Look through the section on minor project topics for CSE in blogs to gain ideas.
• After jotting down potential topics, choose the timeframe and analyse whether it can be completed in due time.
• Finally, decide and book a topic for your project.

How Can upGrad Help You Build the Right Final Year Project?

The final year project is your first real test in building and delivering a complete, end-to-end software or system solution. Choosing the right project sharpens essential technical skills like API integration, database design, and scalable architecture. It also mirrors the kind of teamwork, debugging, documentation, and version control challenges you'll face in the industry. 

A well-executed project often becomes a powerful portfolio piece that can directly influence job interviews. This is why upGrad offers industry-relevant courses that guide you through these skills with practical projects and real-world case studies. 

To complement upGrad’s programs covered in the blog, here are some additional free courses that can help you:

• Programming with Python: Introduction for Beginners
• Learn Basic Python Programming
• Data Structures & Algorithms
• Java Object-oriented Programming
• JavaScript Basics from Scratch
• Advanced JavaScript for All

If you're unsure where to begin or which area to focus on, upGrad’s expert career counselors can guide you based on your goals. You can also visit a nearby upGrad offline center to explore course options, get hands-on experience, and speak directly with mentors! 

Source Codes:
https://github.com/codebiet/Hangman
https://github.com/terenty-rezman/simple-vpn
https://github.com/pratham-bhatnagar/Gesture-Volume-Control
https://github.com/Bear81/restaurant_booking
https://github.com/DevamPanchasara/E_Book_Maker
https://github.com/BurhanMohammad/Django-librarymanagement
https://github.com/aadi2611/Chatbot-Using-Flask
https://github.com/soumyadipghorai/web-scraping-with-bs4
https://github.com/Sufwan-Masood/Attendance-System-Using-Finger-Reader
https://github.com/Deshan555/IOT-Smart_Farming
https://github.com/anant1203/Twitter-Sentiment-Analysis
https://github.com/informramiz/Face-Detection-OpenCV
https://github.com/zabavb/My-weather-app
https://github.com/shubham001official/Smart-Adaptive-Traffic-Management-System
https://github.com/Geo-y20/Uber-Rides-Data-Analysis
https://github.com/aashok30/Car-Data-Analysis
https://github.com/apoorv74/election-analysis-R
https://github.com/junioralive/sms-spam-detection
https://github.com/activatedgeek/LeNet-5
https://github.com/steeltroops-ai/Placement-Management-System

References:
https://www.codemotion.com/magazine/infographics/the-story-of-google-infographic/