Rosla Technologies

Done In My Final Exam, In Exam Conditions, Meeting The Exam Requirements ( Achieved Full Marks )

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Instructions to Run the Program

Ensure you are in the root directory (Rosla-Technology) before running these commands.

Install the Dependencies

pip install -r flaskr/requirements.txt

Run the Application

python flaskr/app.py

flask run

Access the Application

Open your web browser and go to: http://127.0.0.1:5000

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Dependencies and System Requirements

See the flaskr/requirements.txt file for a full list of Python package dependencies. You will need Python 3.x installed.

Asset Log for Libraries Used

Python Libraries

• Flask: A micro web framework for Python.
  • Source: https://palletsprojects.com/p/flask/
  • License: BSD-3-Clause
• Werkzeug: A comprehensive WSGI web application library.
  • Source: https://palletsprojects.com/p/werkzeug/
  • License: BSD-3-Clause
• sqlite3: A lightweight, disk-based database library.
  • Source: https://docs.python.org/3/library/sqlite3.html
  • License: Python Software Foundation License

JavaScript Libraries

• Chart.js: Simple yet flexible JavaScript charting library for the modern web
  • Soruce: https://www.chartjs.org/
  • License: MIT License

CSS Libraries

• Google Fonts: Web fonts provided by Google.
  • Source: https://fonts.google.com/
  • License: Apache License, Version 2.0
• OpenDyslexic: A typeface that uses typeface shapes & features to help offset some visual symptoms of Dyslexia. Now in SIL-OFL.
  • Source: https://github.com/antijingoist/opendyslexic
  • License: SIL OPEN FONT LICENSE

APIs

• Geoapify API: Used for geocoding and retrieving building geometry.
  • Source: https://www.geoapify.com/
• GetAddress.io API: Used for UK address autocompletion.
  • Source: https://getaddress.io/
• Google Gemini API: Used for processing text data (e.g., from OCR).
  • Source: https://ai.google.dev/
• OCR API: Used for extracting text from images/documents (Specific service not identified in code excerpts).

Images

• register.png: Image used on login and registration pages

  • Soruce: Josh Hernandez
  • Licnese: All Rights Reserved - Replcae Imagie in production

• solar.svg: Solar panel icon used in solar consultation results

  • Soruce: Made My Self
  • Licence: None

• index.png: Main image for the homepage

  • Soruce: Josh Hernandez
  • Licnese: All Rights Reserved - Replcae Imagie in production

• infoHub/reduceCFPIcon.svg: Icon for the Reduce Carbon Footprint info page

  • Soruce: Made My Self
  • Licence: None

• infoHub/Arrow.svg: Navigation arrow used across info page

  • Soruce: Made My Self
  • Licence: None

• infoHub/reduceCFP.svg: Link image on the Info Hub page

  • Soruce: Made My Self
  • Licence: None

• infoHub/evChargers.svg: Link image on the Info Hub page

  • Soruce: Made My Self
  • Licence: None

• infoHub/smartHome.svg: Link image on the Info Hub page

  • Soruce: Made My Self
  • Licence: None

• infoHub/greenEnergy.svg: Link image on the Info Hub page

  • Soruce: Made My Self
  • Licence: None

• infoHub/title.svg: Title graphic for the Info Hub page

  • Soruce: Made My Self
  • Licence: None

Areas for Improvement

Scalability

• Limitation: The application uses SQLite, which is suitable for development and small-scale applications but may not perform well under high traffic or with very large datasets due to its file-based nature and limited concurrency support.
• Improvement: Consider migrating to a more robust database system like PostgreSQL or MySQL for production environments.

User Authentication

• Limitation: Current authentication relies on password hashing but lacks advanced security features such as multi-factor authentication (MFA), rate limiting, or account lockout mechanisms after multiple failed login attempts.
• Improvement: Implement MFA (e.g., using TOTP), add rate limiting to login attempts, and implement account lockouts to enhance security against brute-force attacks.

Database Handling

• Limitation: Database connections and cursors are opened and closed within individual functions in db.py. This is repetitive and less efficient.
• Improvement: Centralise database connection management. Using Flask's application context (g object) or an Object-Relational Mapper (ORM) like SQLAlchemy can help manage connections more effectively and reduce code redundancy.