Showing posts with label computer project ideas. Show all posts
Showing posts with label computer project ideas. Show all posts

Project to test your programming skills

Project to test your programming skills

A Guessing Game - to become Full Scope/Stack Developer

If you are wondering what would be a perfect project to practice your programming skills. You are in the right place!
It's a simple number guessing game. We start with a console app and migrate to a web app with lots of features.


1. Console App:

  • Read a number N from the console between a range (MIN, MAX). Your code should then generate a random number CN between the same range(MIN, MAX) and compare if the computer-generated random number CN and the user entered number N matches.
    If it matches, the user wins. If it doesn't match, the computer wins.

2. (Optional) Desktop app:

  • Create an interface to enter the MIN/ MAX number and the user guess.
    MIN :        [ Textbox  ]
    MAX:         [ Textbox  ]
    User Guess   [ Textbox  ]
Also provide a button with label "Play" that generates the random number and displays a message in Label if the user won.
    [ Play  ]
  • Save the win/loss counts and winning/losing number in a text file 'stat.csv'. Display the average win/loss on UI when the user closes the app.
    2020-05-10 20:01:50, USER, 5, 10
    2020-05-10 20:02:50, USER, 3, 4
    2020-05-11 20:05:50, COMPUTER, 7, 9

3. Two-player:

  • Update the GUI or Console application to allow two users to play with the computer. Both of the users can enter their guess and click Play. The user that made the correct guess will win
    GUI mockup:

    User A's Guess   [  Text Box  ]
    User B's Guess   [  Text Box  ]

                     [    PLAY    ]

4. (Optional) Multi-Player Game - over socket connection:

  • Update the GUI application to allow several users to play simultaneously. All the users will have a copy of the application and can join the Game by running the application on their computer. The first user to start the game can act as a Server.

5. Web Application:

  • Create a web application to play the same game in the browser. Reuse the previous code on the backend
  • Support single-player mode (play with the computer).
  • Add a sign-up page to register users. Update logic to allow only the registered/logged-in users to play. Use ReCaptcha to prevent robot making requests.
  • Block users from playing more than 1 hour. Lock them for 2 hours.
  • Multi-player: list online users and provide the ability to request/accept to play with the user. Use WebSocket to listen for updates in realtime.
  • Store the win/loss statistics into DB.
  • Generate a CSV report with stats about the winner, numbers, etc that you can download it from the web interface.

 6. Fun Stuff

  • Schedule the 'winner stat' report to run every day and deliver it to your email address.
  • Setup a background job that sends an account deactivation email if the user is not logged-in in last 20 days
  • Setup a background job to deactivate user if the user is not logged-in in the last 30 days
  • Setup a public web API to expose information about the winners
  • Use caching to read user profile from the cache instead of reading from DB on every request

7. Operation:

  • Setup a Dockerfile script to run your app in docker
  • Setup static code analysis with local SonarQube instance. You can use docker to run SonarQube. Take care of SonarQube warnings.
  • Deploy your app in a cloud environment (eg Heroku, AWS, Azure)


  • Focus on readability, reusability throughout the development.
  • Try to make your app modular
  • Use the build system
  • Use git


Want to update this?

Please submit a PR at

List of good references for Speech / Speaker Recognition Project

Here is list of good references , that we followed for our final project. These  are also included in reference section of final report. 
After we decided to do final project on joint speech and speaker recognition, we did a lot of research and downloaded almost 2 GB of articles, lecture notes and etc. But, these article(around 30 MB) were really useful to us.
All of them are available on Web for free. Just google it.

  1. Assignment 3: GMM Based Speaker Identification EN2300 Speech Signal Processing, [!assignment_03.pdf]
  2. Conrad Sanderson, Automatic Person Verification Using Speech and Face Information - A Dissertation Presented to The School of Microelectronic Engineering Faculty of Engineering and Information Technology, Griffith University, August 2002, [revised February 2003].
  3. Douglas A Reynolds and Richard C Rose, Robust text-independent speaker identification using Gaussian mixture speaker models. IEEE Transactions on Speech and Audio Processing, 3(1):72–83, 1995.
  4. G. Saha, Sandipan Chakroborty, Suman Senapati , A New Silence Removal and Endpoint Detection Algorithm for Speech and Speaker Recognition Applications, Department of Electronics and Electrical Communication Engineering, Indian Institute of Technology, Khragpur, Kharagpur, India.
  5. J P Campbell, Jr. Speaker recognition: A tutorial. Proc. IEEE, 85(9):1437–1462, 1997.
  6. K.R. Aida–Zade, C. Ardil and S.S. Rustamov, Investigation of Combined use of MFCC and LPC Features in Speech Recognition Systems, World Academy of Science, Engineering and Technology, 2006
  7. L. R. Rabiner, “A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition”, vol-77, no. 2, pp. 257-286, 1989.
  8. Lasse L Mølgaard, Kasper W Jørgensen, Speaker Recognition: Special Course; IMM-DTU; 2005
  9. Mohamed Faouzi  BenZeghibaa , Joint Speech and Speaker Recognition,IDIAP  Research  Report, 2005.
  10. Robin Teo Choon Guan @ Myo Thant, Majority Rule- Based Non-Intrusive User Authentication by Speech: Part 2 (Speaker Verification), Thesis, School of Science and Technology, Sim University,2009.
  11. Shi-Huang Chen and Yu-Ren Luo , Speaker Verification Using MFCC and Support Vector Machine, Proceedings of the International Multi Conference of Engineers and Computer Scientists 2009, vol – I, IMECS 2009.
  12. Tomi Kinnunen , Spectral Features for Automatic Text-Independent Speaker Recognition- Licentiate’s Thesis, University of Joensuu, Department of Computer Science, Finland, 2003.
  13. Waleed H. Abdulla and Nikola K. Kasabov, The Concepts of Hidden Markov Model in Speech Recognition, Knowledge Engineering Lab, Department of Information Science, University of Otago,New Zealand, 1999.

Final Year Computer Project Suggestion, A HUGE LIST

Here is a list of project suggestion for final year project (BE computer).
I have collected them from various sites.

Screen capture Utility , Automatic Video Tutorial Maker
HTML Editor - text processing
Image Search engine using image clustering
Semantic WEB
PCI/USB FM RadiPlayer with Tunning, Volume Control, and capture feature
LAN Based Bit Torrent
Automatic Friend tagging on Facebook based on Face Recognition
Hostel Election Software
Collaborative Web Browsing
Web based Application for Multiple Clients
MAC Layer Scheduling in Ad-hoc Networks
Smart Mail Transfer Protocol
Windows Multi File Search utility
FTP Explorer
Harddisk data recovery tool
Consumer-oriented devices and services
Mobile TV and IPTV
Telemedicine portals
Gesture Recognition using ANN or HMM or ..
TCPIP Chat client server