AI Avengers - TechNex24 Hackathon

Team Overview

Welcome to AI Avengers! We are a diverse and dynamic team participated in the TechNex24 Hackathon. Our team brings expertise in various domains, including AI/ML development, web development, app development, blockchain, and game development. We are excited to collaborate and create innovative solutions.

Hackathon Topic

Project: Chatbot for Mining Industry Regulations

Description: Our project focuses on developing a chatbot capable of responding to text queries related to Acts, Rules, and Regulations applicable to the mining industry. We aim to provide a user-friendly interface for quick access to information, making compliance easier for mining professionals.

Team Members

1. Mr.Piyush Ninawe - Provided AI/ML for Chatbot
2. Mr.Saurabh Tembhurne - Provided UI/UX for Chatbot
3. Mr.Mahesh Shinde - Provided Data Management and Data Manipulation for Chatbot
4. Mr.Pranil Bansode - Provided Testing and Data Collecting for Chatbot

Project Goals

• Create an intelligent chatbot capable of understanding and responding to text queries.
• Implement a user-friendly interface for seamless interaction.
• Incorporate AI and ML algorithms to improve chatbot responses over time.
• Provide information related to Acts, Rules, and Regulations in the mining industry.
• Enhance accessibility and compliance for mining professionals.

Technologies

Our team leverages a combination of technologies:

• Natural Language Processing (NLP):
  • Tools/Frameworks: NLTK (Natural Language Toolkit), SpaCy, Stanford NLP
  • Platforms: Wit.ai, Dialogflow, LUIS (Language Understanding Intelligent Service)
• Machine Learning (ML):
  • Libraries: TensorFlow, PyTorch
  • Frameworks: Rasa, Botpress
  • Platforms: Dialogflow ML, LUIS ML
• Speech Recognition:
  • Libraries: CMU Sphinx, Google Web Speech API
  • Platforms: Wit.ai, IBM Watson Speech to Text
• Text-to-Speech (TTS):
  • Libraries/Services: gTTS (Google Text-to-Speech), Amazon Polly
  • Platforms: IBM Watson Text to Speech
• Knowledge Representation:
  • Ontologies: RDF, OWL
  • Graph Databases: Neo4j Platforms: Microsoft Bot Framework (for QnA Maker)
• Intent Recognition:
  • Algorithms: SVM (Support Vector Machine), Random Forest
  • Platforms: Rasa NLU, Dialogflow
• Entity Recognition:
  • Models: SpaCy, CRF (Conditional Random Fields)
  • Platforms: Dialogflow, Rasa NLU
• Chatbot Building Frameworks:
  • Rasa: Open-source framework with NLU and Core components.
  • Botpress: Open-source platform for building chatbots.
  • Microsoft Bot Framework: Comprehensive framework with various services.
• Backend Development:
  • Languages: Node.js, Python, Java
  • Frameworks: Express (Node.js), Flask (Python)
• Frontend Development:
  • Libraries/Frameworks: React.js, Angular, Vue.js
  • Websockets: Socket.IO
• Cloud Platforms:
  • AWS (Amazon Lex): Provides services for building conversational interfaces.
  • Google Cloud (Dialogflow): Offers NLP and ML-based chatbot development.
  • Microsoft Azure (Azure Bot Service): Integrates with various channels and services.
• Version Control:
  • Git: For tracking changes and collaborating with team members.
• Continuous Integration/Continuous Deployment (CI/CD):
  • Jenkins, Travis CI, GitHub Actions: For automated testing and deployment.
• Monitoring and Analytics:
  • Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Splunk
  • Analytics: Google Analytics, Mixpanel
• User Interface (UI)/User Experience (UX) Design:
  • Design Tools: Figma, Sketch
  • Prototyping: InVision, Adobe XD
• Security:
  • Authentication: OAuth, JWT (JSON Web Tokens)
  • Encryption: SSL/TLS

Instructions

To get started with our project, follow these steps:

1. Clone the repository: git clone [repository-url]
2. Navigate to the project directory: cd [specific_project-directory]

##for Web Based MinesBot:

• Installation & Setup

[Install Python] https://www.dataquest.io/blog/installing-python-on-mac/

[Install pip] https://phoenixnap.com/kb/install-pip-mac

If you have Python & pip installed then check their version in the terminal or command line tools

python3 --version

pip --version

• Installing Flask In your terminal run the requirements.txt file using this pip ``` pip install flask transformers torch

• Running ChatBot Application in Terminal

cd into your directory

python app.py

##for software setup: - Installation & Setup

[Install Python] https://www.dataquest.io/blog/installing-python-on-mac/

[Install pip] https://phoenixnap.com/kb/install-pip-mac

If you have Python & pip installed then check their version in the terminal or command line tools

python3 --version pip --version

##install Libraries - pip install PyQt5 - pip install pyttsx3 - pip install speech_recognintion - pip install pyautohui - pip install subprocess - pip install nltk - pip install openai - pip install scikit-learn ##run file:
run main.py

##Powerpoint Persentation:

##report of Project: MinesBot report.docx

Feel free to reach out to any team member if you have questions or need assistance.

Happy Hacking!