FINAL YEAR PROJECT IDEA'S

 GPS Based Garbage Tracking System:

This idea is perfect for saving time and changes the regular way to dumping the trash, thus this app provides a cost-effective way or web-based system for the government to utilise available resources to efficiently manage the overall amounts of garbage collected regularly, while also providing a better solution for garbage disposal for many cities. Our Location-Based Garbage Management System for Smart City app integrates the best techniques to check and analyze data collected to provide the best and easy routes generated through maps using our algo’s for garbage trucks/vehicles. 

An android or web application is produced for the residents, which essentially gives ease to the people for trash/waste dumping.

Reference-https://www.skyfilabs.com/project-ideas/android-location-based-garbage-system

AR Based Furniture App:

AR-based applications for furniture offer exclusive services to the customer. AR technology is helpful to fulfill customer’s every need. Augmented Reality provides a powerful additional capability to the businesses that complement the user’s experience. Augmented Reality is all about overlaying virtual animated objects onto real-world surroundings. Users with the help of mobile devices can experience realistic visualization anytime and anywhere. Using AR virtual elements —- sounds, images, and videos are a fuse in the real-world environment.

This technology uses the mapping and matching technique to suggest some good furniture suggestions. By scanning the area, it processes and matches the area with hundreds of preloaded furniture and filter the results using AI which will fit perfectly for your home.

Reference- https://youtube.com/playlist?list=PLb1h4A0yB978SQuAeBsxup--7ITPCashH

Video Survelliance:

Surveillance security is a very tedious and time-consuming job.The video surveillance process includes the identification of areas of concern and the identification of specific cameras or groups of cameras that may be able to view those areas. If it is possible to identify schedules when security trends have occurred or may be likely to occur, that is also helpful to the process. Then, by viewing the selected images at appropriate times, it is possible to determine if improper activity is occurring.

Video surveillance involves the act of observing a scene or scenes and looking for specific behaviours that are improper or that may indicate the emergence or existence of improper behaviour.

Reference- https://data-flair.training/blogs/deep-surveillance-with-deep-learning-intelligent-video-surveillance-project/

Natural Language Processing(NLP)

      Natural language processing (NLP) is about developing applications and services that are able to understand human languages. Some Practical examples of NLP are speech recognition for eg: google voice search, understanding what the content is about or sentiment analysis etc. Natural language toolkit (NLTK) is the most popular library for natural language processing (NLP) which was written in Python and has a big community behind it.

            NLP analyzes text and allows machines to understand how we speak. It considers the hierarchical structure of language and performs tasks like correcting the grammar, converting speech to text, and translating between languages. In computer science, it is a hard problem.

Reference -https://www.tutorialspoint.com/natural_language_processing/natural_language_processing_python.htm

Twitter Sentiment Analysis:

        Twitter allows businesses to engage personally with consumers. However, there’s so much data on Twitter that it can be hard for brands to prioritize mentions that could harm their business.That's why sentiment analysis, a tool that automatically monitors emotions in conversations on social media platforms, has become a key instrument in social media marketing strategies.Sentiment analysis is the automated process of identifying and classifying subjective information in text data. This might be an opinion, a judgment, or a feeling about a particular topic or product feature.

        The most common type of sentiment analysis is ‘polarity detection’ and involves classifying statements as positive, negative or neutral. A polarity sentiment analysis model, for example, automatically tags this tweet as positive.

Reference-https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/

Conclusion:

Above are some ideas for micro-project of networking you can go through the reference link for more information about project.
I hope you liked the ideas.
Thanks for reading.....