Hey everyone! I'm a final-year undergraduate studying artificial intelligence and data science, and I recently completed a project where I analyzed WhatsApp chat data. The project takes exported chat data and provides insights such as who texted more, the total number of messages, words per user, busiest times, sentiment analysis, personality analysis, topic modeling, and a visual representation of the most active users.
I created this project out of curiosity and a desire to have something impressive to put on my resume that showcases my interest in natural language processing (NLP). I'm looking to improve it even further and have listed potential future features in my readme on GitHub: [https://github.com/purl-potato/NLP-Project](https://github.com/purl-potato/NLP-Project).
I'd really appreciate some honest feedback on a few points:
- Is this project too basic for my final year?
- Does it impress enough to include on my resume?
- What could make it more compelling?
- Would it help me land an internship or junior role?
Please be as blunt as you need; I'm here to learn and want to build projects that really represent my skills. Thanks a ton!
3 Answers
Alright, here's the honest breakdown: for a final year project, there are major gaps. You're missing any tests—unit, functional, etc.—and using a Jupyter notebook without a proper UI isn’t great. Plus, the code is crowded into a single file with no type hints, and there are also warnings that you’re just ignoring. You should definitely look into organizing your code better, add some error handling, and implement tests. Without these, it won't stand out in a real-world scenario.
This project sounds really neat! It's more focused on data analysis rather than software engineering. Consider transforming it into a React Native app to get it on app stores, which would really boost your software development credentials.
Thanks for the suggestion! I'm planning to pivot it into a web app with a user-friendly interface, appreciate your input!
Honestly, this project is worth putting on your resume! You're addressing a real problem, providing an end-to-end solution, and working with APIs and AI technology, which is impressive for a student.
Thanks! That’s encouraging to hear. I’m aiming to make it even more relevant and impactful.
I really appreciate the thorough feedback. I plan to make a lot of those improvements, including breaking the code into modules, adding unit testing, and implementing a straightforward UI with Streamlit. Your honesty has been really helpful!