1. Find a new idea and search the previous work done.

Choose the topic or theme, we will discuss it in the lecture.

I will suggest the Satellite data processing and IoT domain, It will give you an opportunity to join the ISRO or SPACE research company for the internship.

Now this time choose a good topic, that will help you to set up your own startup also.

Don’t worry about the implementation, everything in this world is implementable.

Important Resources

Domain of AI

Select the following research domain for the project.

1. IoT +ML + Python (Hardware + Application)

2. Satellite Data analysis using Python (Image processing )

3.  Image Processing  using Python

4. Data analysis and forecasting using ML and Python

5. Social Media data analysis using Python

Use the following resources

https://data-flair.training/blogs/machine-learning-project-ideas/

https://www.kdnuggets.com/2021/09/20-machine-learning-projects-hired.html

https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9

Machine Learning Projects for Beginners

1. Stock Price Prediction
2. Data Science Project on President Heights
3. Data Science Project on Birth Rate Analysis
4. Data Science Project on Time Series
5. Data Science Project on Area and Population
6. A Complete Machine Learning Project Walkthrough
7. Text Summarization

Advanced Machine Learning Projects

1. House Price Prediction
2. Real-Time Face Mask Detection
3. Named Entity Recognition
4. Number Plate Detection
5. IPL Analysis with Python
6. Gold Price Prediction
7. Object Detection
8. Highest-Paid Athletes Analysis
9. Text Generation
10. Spelling Correction with Python
11. Income Classification
12. Language Translation Model
13. Resume Screening
14. Sign Language Classification
15. Online Shopping Intention Analysis
16. Network Graph Analysis
17. Keyword Extraction
18. Amazon Best Selling Books Analysis
19. Covid-19 Cases Prediction for Next 30 Days
20. Gender Classification
21. Flower Recognition
22. Air Quality Index Analysis
23. Pneumonia Detection
24. Employee Attrition Prediction
25. Hand Gesture Recognition
26. Face mask Detection
27. Market Basket Analysis using Apriori Algorithm
28. Breast Cancer Detection
29. Earthquake Prediction Model
30. Outlier Detection
31. Heart Disease Prediction
32. Plastic Users Analysis
33. Chatbot with Machine Learning
34. Next Word Prediction Model
35. Age and Gender Detection with Python
36. Autocorrect Keyboard with Python and Machine Learning.
37. Machine Learning in 5 lines of code.
38. Deepfake Detection with Machine Learning.
39. Predict US Elections with Python.
40. Fake Currency Detection with Machine Learning.
41. Predict Tinder Matches with Machine Learning.
42. Image Segmentation
43. Title Generator with Python.
44. Pencil Sketch with Python.
45. OpenAI Gym in Machine Learning
46. Covid 19 Analysis.
47. Analyze ILP Matches.
48. Barcode and QR code Reader with Python
49. Extract Text From PDF with Python.
50. Predict IPL Winner 2020.
51. Predict Car Prices.
52. Analyze Call Records.
53. Create an API with Python.
54. Send Custom Emails with Python.
55. Colour Recognition with Machine Learning.
56. Create a 3D Video Animation.
57. Graph Algorithms in Machine Learning.
58. Image Features Extraction.
59. Rainfall Prediction with Machine Learning.
60. Classify Nationalities with Machine Learning.
61. Fraud Detection with Machine Learning.
62. Topic Modeling with Python
63. Named Entity Recognition
64. WhatsApp Group Chat Analysis
65. Translate Languages Using Python
66. Network Security Analysis
67. Bar Chart Race with Python
68. Keyword Research with Python
69. Face Detection with Python
70. Emotion Detection Model
71. Telegram Bot with Python
72. Handwriting Recognition
73. Visualize a Solar System with Python.
74. Hate Speech Detection Model
75. Build Instagram Filters with Python.
76. Contact Tracing with Machine Learning
77. Deploy a Chatbot with Python into a Web Application
78. Summarize Text with Machine Learning
79. Language Classification with Machine Learning.
80. OTP Verification GUI with Python
81. Create an Audiobook with Python
82. Titanic Survival Analysis
83. Image Recognition with PyTorch
84. Gender Classification Model
85. Daily Births Forecasting
86. Binary Search Algorithm
87. Galaxy Classification with Machine Learning
88. Time Series with LSTM Model
89. Image Classification with TensorFlow
90. Predict Weather with Machine Learning
91. Create a Package with Python
92. Computer Vision with Python
93. Diamonds Analysis with Python
94. Text Classification with TensorFlow
95. Image Segmentation with Python
96. Ridge and Lasso Regression
97. Predict Fuel Efficiency
98. ABC Analysis with Python
99. Lung Segmentation with Machine Learning
100. RFM Analysis with Python
101. Build Neural Network with Python Code
102. Genetic Algorithm with Python
103. Predict Migration with Machine Learning
104. Analyze Healthcare Data
105. NLP For Other Languages
106. Data Science Project on Text and Annotations
107. Data Science Project on — Handwritten Digits
108. Data Science Project on- Support Vector Machines
109. Data Science Project — Stock Price Prediction with Machine Learning
110. Data Science Project on — Classification of Text
111. Data Science Project on-Extracting HOG Features
112. Data Science Project on — Amazon Products Reviews Sentiment Analysis with Machine Learning
113. Data Science Project — Email spam Detection with Machine Learning
114. Data Science Project — Heart Disease Prediction with Machine Learning
115. Data Science Project — Movie Recommendation System
116. Data Science Project — Student Performance Analysis with Machine Learning
117. Data Science Project on FIFA Analysis with python
118. Data science project — Fake News Classification
119. Data Science Project — DNA Sequencing with Machine Learning
120. Data Science Project — Book Recommendation System with Machine Learning
121. Data Science Project — Bitcoin Price Prediction with Machine Learning
122. Machine Learning Project — Artificial Neural Networks
123. Algorithmic Trading Strategy with Machine Learning and Python
124. Movie Reviews Sentiment Analysis -Binary Classification with Machine Learning
125. Data Science Project — Supermarket Sales Analysis
126. Data Science Project — GDP Analysis
127. Data Science Project — Predict Customer Churn with Python and Machine Learning
128. Data Science Project — San Francisco Crime Analysis
129. Machine Learning Project — Human Activity Recognition using Smartphone Data
130. Credit Card Fraud Detection with Machine Learning
131. Weather Forecasting with Machine Learning
132. SMS Spam Detection with Machine Learning
133. Covid-19 Detection with Machine Learning and AI
134. Customer Segmentation with Machine Learning
135. Employee Turnover Prediction with Machine Learning
136. Predict Diabetes with Machine Learning
137. Image Classification with PyTorch
138. Time Series Forecasting with ARIMA Model
139. Natural Language Processing on WhatsApp Chats
140. Fake News Detection Model
141. Image Classification with Artificial Neural Networks
142. Binary Classification Model
143. Data Augmentation with Deep Learning
144. Next Word Prediction Model.
145. Image Segmentation
146. XGBoost Algorithm in Machine Learning
147. Face Landmarks Detection
148. Image Filtering with Machine Learning
149. Audio Feature Extraction
150. Machine Translation Model
151. Gender Classification Model
152. Create a 3D Video with Python and Machine Learning.
153. Named Entity Recognition
154. WhatsApp Group Chat Analysis
155. Translate Languages Using Python
156. Covid-19 Projects with Machine Learning
157. Deep Learning Projects with Machine Learning
158. Recommendation System Projects with Machine Learning
159. Sentiment Analysis Projects with Machine Learning
160. Classification Projects For Machine Learning
161. Regression Projects for Machine Learning
162. Chatbot Projects with Python
163. Machine Learning Projects on Future Prediction

If you are using Notepad or any other text editor for java programming, you should know how to set up the Java path in the command prompt.

Following are the steps.

Step 1: Open command prompt (CMD)

Step 2: Switch to your program directory using CD command

Step 3: Set PATH of Java compiler

Step 4: Use  javac filename.java command to compiler the program

Step 5: Use java filename command to run the program

Blog Post

 Quick guide.

Step 1:

Run  Open RUN-> CMD -> OK

Step 2:  Switch to your program directory using CD command

Step 3: Set PATH of Java compiler

Java Program: Hello.java

Code:

// Write a program to display message in java

public class Hello{

public static void main(String[] arg){

System.out.println(“Hello World”);

}

}

Output:

Hello World

Step 4: Use  javac filename.java command to compiler the program

Step 5: Use java  filename command to run the program

The following questions will help you,

1. What is the title of a project?
2. What should I develop an android application/ website/software?
3. What are the features of the proposed application?
4. How to create an android application/website/software? Blab blab.

Generally, the student asks the senior students or class teacher about the project. It is found that some project titles are repeated every academic year in various colleges. Thus, you have two ways to follow the old path or create the new path.

A. What is an old path?

You can create a similar project of the submitted project reports in the institutions by the senior students. Additionally, You will get the various readymade projects along with the documentation on the internet.  

Let me tell you, this approach is an escape root for some students, and it will land you in trouble in the viva exams. You may lose confidence in front of the examiner or teachers.

B. What is a new path?

Nowadays, students are more techno-savvy and intelligent because of the internet. You can use this platform to develop new skills and applications. You can search for an internship project in an IT company. You can use google or local connections to find the internship offers. Otherwise, you can directly approach the HR department of the IT company and submit your resume.

Let’s answer your questions

1. What is the title of the project?

You can choose a title that justifies your proposed idea or problem statement.

for example.  

• Android App for XYZ institute
  
• Smart IoT kit for Plants,
• IoT kit for weather parameters,
• Portal for MCQ,
• Learning Management System
• Smart tracking system for the school bus – application for the school and parents.
• App for women safety

2. What should I develop an android application/ website/software?

It depends upon the mentor or company. If you are allocated to the institute’s mentor, he may give you the project title based on his research domain. The mentors already know your abilities by judging your classroom behavior, so always follow the instructions given by the mentor.

In another case, the company will allow the live project experience to the final year students. You should follow the instructions given by the project manager to the team manager.

Firstly, you should introspect and ask the following question yourself?

What are my skills?

What is my interest?

What should I prefer between coding, designing, or testing for the project?

What should I choose for an android/website/software development?

Is it possible to develop the project in a given time?

Am I ready to learn new programming languages to develop the project?

If the answer is YES, you will learn many things that you cannot know in the entire semester.

3. What are the features of the proposed application?

I hope you have decided on the title and development platform for the final year project. Now, let’s talk about what would be the features of the application.

IT company: The SRS ( Software Requirement Specification) will provide to the intern. It’s a legal contract between client and company. The SRS documents include the requirements of the client, which the company should fulfill. The project manager or team leader will assign you the module or UI( User Interface) you.

Mentor: The mentor provides necessary guidance to the student. He will give the assignment to judge your capability. If you up to the mark, then the actual game start 😉 just kidding. Mentors will help in every critical situation where you lack behind. The mentor may give you the project based on his area of interest.

For example. Speech processing, Image processing, IoT projects, Android apps, etc.

Check out the following example,

Project Title: **** institute android App

Project Duration: 3 months

Platform: Android and Web

Targeted Technology: Android, PHP, MySQL, JSON, Bootstrap ( App+Web application)

The followings are the feature of the project.

1. Institute info – Android app

You can develop an android application for your institute. It should offer the following features

2. Institute profile

It includes the contact information of the institute, like address, office Telephone number, important department name, and contacts.

3. Course information

What are the courses running by the institute? You can upload the syllabus of the subjects in a PDF file.

4. Teacher profile

It includes the list of teachers along with basic information like name, email, expertise, and designation

5. Notice board

The Notice board is an essential part of the institute. It should display information regarding the notices released by the institute. You can add an activity regarding the noticeboard in the android application.

6. Student registration

You can create a login and student registration activity for the students and teachers. It will be helpful to maintain the records of the alumina of an institute.

7. Additional information

Suppose you want to add advanced features to the application. In that case, you can create a web application in PHP-MySQL or any other platform, which provides the synchronization of the records between android and the website. You can use the android + website user authentication system.

4. How to develop an android application/ website/software?

You can start from youtube or books. Many educational channels are available on YouTube, which offers excellent learning content and step-by-step implementation in the video.

List of important resources

1. Tutorial points (https://www.tutorialspoint.com)
2. GeeksforGeeks (https://www.geeksforgeeks.org)
3. Androidhive (https://www.androidhive.info)
4. Simplified coding (https://www.simplifiedcoding.net/)
5. GitHub (https://github.com)
6. Stack Overflow (https://stackoverflow.com)