DOSCE Bullet points (12 week summary)

Chat Bot with CRUD Operations

Implemented GET and POST methods for handling user interactions.
Integrated user stories to ensure a structured approach to development.
User Story Issue

Survey System with CRUD Operations

Built a survey feature with Create, Read, Update, and Delete (CRUD) capabilities.
Built and developed a survey feature GET, POST, and DELETE requests for managing survey responses.
[Issue] (https://github.com/vibha1019/holiday_frontend/issues/31#issue-2843199625)

Frontpage Enhancements

Designed and optimized the front page for a user-friendly experience.
Added snow animation and dynamic background elements, like the background
[Issue] (https://github.com/vibha1019/holiday_frontend/issues/34#issue-2883582384)

API and Model Development

Developed API endpoints for both the Chat Bot and Survey System.
Designed and implemented models to structure data flow efficiently.
Ensured API consistency and security.

Video Coordination & Demo

Organized and coordinated a video summary showcasing key developments.
Included a demo of features to highlight functionality.
Learned how to Summarize key points and talk efficiently

N@TM

Here are our Reviews:

Positive Feedback (Pros)

Front Page Animation – The interactive animations on the home page were well-received.
Gift Recommendation Concept – Reviewers liked the idea of a site that suggests gifts based on user preferences.

Areas for Improvement (Cons)

Product Listings in Chat Bot – Users wanted the chat bot to display specific products with direct links on the page.
Consistent Theme Across Pages – Reviewers suggested applying the design theme uniformly across all pages for better fluidity.
Seamless Shopping Experience – Users expressed interest in an option to purchase items directly from the site.

Other Cool Websites at N@TM

This was one of Period #1 CSP Classes for F! race lovers. I really loved their CSS and how all the page flow so smoothly. I also was discussing to them about how they integrated their style and learned that instead of CSS they used SASS style giving the website a more professional appeal.

This was from CSA class. I really liked the idea of this website and how you can generate ideas using AI for your team teach, something that all CSSE, CSP, CSA students can utilize!

MCQ 2020 Practice + Improvements

I went up 5 points from last practice test i took

My Analytics

I improved on the algorithms 16% from the last test
I improved the computing systems and network 20% because of watching the CPT requirements in the videos in college board.

Main Topics/Questions I struggled on

Impact of Computing which was a 67%, Binary Numbers, Cybersecurity

Incorrect. The binary RGB triplet for neutral gray is (01111111, 01111111, 01110000).

Incorrect. Action I is helpful in program development. Consultation and communication with program users is an important aspect of program development.

Incorrect. Flooding an account with fraudulent traffic is considered a denial-of-service attack.

What do I need to improve on:

Impact of Computing

Focus more on real-world applications and consequences of computing decisions.

Binary Numbers & Representation

Struggled with binary conversions, especially in RGB triplets.
Need to practice how different values represent shades of colors and binary arithmetic operations.

Cybersecurity: Denial-of-Service (DoS) Attacks

Incorrectly classified a DoS attack, mistaking it for another type of security breach.
Need to revisit different cyber threats, attack types, and security measures.

📌 Survey Feature (Leave a Review) Fulfillment Table

Requirement	How My Feature Fulfills the Requirement
Input	Users submit reviews by entering their feedback, ratings, and optional comments, which are processed and stored in the system.
Use of List/Collection Type	Reviews are stored in a collection that includes attributes like user name, rating, review text, and timestamps, allowing for easy retrieval and management.
Procedure	The feature follows a structured process where users submit a review, the system processes and stores it, and the reviews are later displayed dynamically.
Algorithm	The review system applies CRUD operations: Create (adding new reviews), Read (fetching and displaying reviews), and Delete (removing reviews).
Output	Submitted reviews are displayed in an organized format, showing the user’s rating, feedback, and relevant details in real-time.
Functionality Demonstration	The survey feature’s ability to collect, manage, and display reviews using CRUD operations will be demonstrated through a video walkthrough.

1. Input

@token_required()
def post(self):
    """Create a new survey response."""
    current_user = g.current_user
    data = request.get_json()

    if not data or 'message' not in data:
        return {'message': 'Survey message is required'}, 400

    # Create a new Survey response
    survey_response = Survey(
        message=data['message'],
        user_id=current_user.id
    )

What it does

request.get_json(): Captures the user’s survey response (message) as JSON input.
Validation (if not data or 'message' not in data:): Ensures that a message is provided before proceeding.
User ID association (user_id=current_user.id): Links the input to the authenticated user.

2. Use of List/Collection Type:

Line 63: surveys = Survey.query.all() retrieves a list of all survey responses from the database. This is a collection of survey objects that will be returned as a list of responses. ``` python # Retrieve survey by ID survey_response = Survey.query.get(survey_id) if not survey_response: return {‘message’: ‘Survey response not found’}, 404

3. Procedure:

Procedure for Handling Survey Responses (CRUD operations):
- POST (post() method):
  - It starts by checking if the required data (message) is present.
  - Then, it creates a new survey response, tries to save it, and returns the result.
- GET (get() method):
  - Retrieves a survey response by its id from the query parameters.
  - Returns the survey data or an error message if not found.
- DELETE (delete() method):
  - Deletes the survey with the provided ID.
``` python
def create(self): “"”Adds a new survey response to the database.””” try: db.session.add(self) db.session.commit() except IntegrityError: db.session.rollback() raise IntegrityError(“Survey response creation failed due to a database error.”)

def read(self):
    """Returns a dictionary representation of the survey response."""
    return {
        'id': self.id,
        'message': self.message,
        'user_id': self.user_id
    }
def delete(self):
    """Deletes the survey response from the database."""
    try:
        db.session.delete(self)
        db.session.commit()
    except IntegrityError:
        db.session.rollback()
        raise IntegrityError("Survey response deletion failed due to a database error.")
``` <br><br>

4. Algorithm:

The sequence of operations in each HTTP method forms an algorithm for handling survey data:
- POST: Validate input → Create Survey object → Try saving → Return created data or error.
- GET: Retrieve ID from query params → Query the database for the survey → Return survey data or error.
- DELETE: Retrieve ID from query params → Locate the survey → Delete and return success or failure.

5. Output:

In the get() methods:
- The output is a survey response (or a list of responses) that is returned as a JSON object, formatted using the read() method.
In the post() method:
- The output is the updated survey response, or an error message if the update fails.
In the delete() method:
- The output is a success message when the survey is deleted, or an error message if the deletion fails.

Self-Grading

Concept	Grade	Notes
Dosce Bullets	5/5	Included burndown lists and issues for each of the 5 main tasks completed during my 12-week project, with explanations.
Fullstack Demo, CPT, N@TM Future Additions	1/2	Need more logic-based code and should focus on improving the user-friendliness of the UI interface.
Feature + FRQ	1/1	Clearly explained all parts of my feature and how it applies to each CPT requirement.
MCQ Reflection	1/1	Discussed my improvements on weak topics I struggled with before and addressed weaknesses in newer topics, along with strategies for improvement.
Presentation 10th Point	1/1	N@TM, reviewed it with Ms. Pataki, sparked my interest in AI/ML, and led to an internship opportunity.
Total	9/10

Growth

Gained experience in providing code and algorithms for Fullstack development and Chatbots.
Learned how to collaborate with teammates to resolve issues.
Realized the importance of thorough planning before jumping into new projects (e.g., Chatbot project).

Areas for Improvement

Become more organized with tracking regular issues and burndown tasks.
Avoid leaving all coding to the last minute, and handle the resulting stress when things break.

Applying Skills to the Future

-Will integrate skills gained into future projects, focusing on improving project workflows, enhancing team collaboration, and applying the lessons learned to more advanced systems and algorithms..