SupportSync is an AI-powered ticketing solution that streamlines issue resolution across multiple platforms. It leverages past solutions to provide intelligent, context-aware responses to new tickets.

• Support for multiple ticketing platforms: JIRA, ClickUp, and Salesforce
• AI-powered ticket resolution using Llama 3.2 90B model
• Context-aware solutions based on past resolved tickets
• Interactive chatbot for detailed issue discussions
• Unified platform for managing tickets from various sources
• Document attachment support: Users can attach documents for more personalized and accurate responses from the chatbot

git clone https://github.com/Prathamesh72003/support-sync.git
cd support-sync

1. Navigate to the backend directory:

   cd support-sync-backend

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows use `venv\Scripts\activate`

3. Install dependencies:

   pip install -r requirements.txt

4. Configure the .env file with the following variables:

   # JIRA
   JIRA_API_URL=your_jira_api_url
   JIRA_EMAIL=your_jira_email
   JIRA_API_TOKEN=your_jira_api_token
   JIRA_PROJECT_KEY=your_jira_project_key
   
   # OpenAI
   OPENAI_API_KEY=your_openai_api_key
   
   # Pinecone
   PINECONE_API_KEY=your_pinecone_api_key
   PINECONE_ENV=your_pinecone_environment
   PINECONE_INDEX_NAME=your_pinecone_index_name
   VECTOR_DB_NAME=your_vector_db_name
   PINECONE_HOST=your_pinecone_host
   
   # GROQ
   GROQ_API_KEY=your_groq_api_key
   
   # Salesforce
   USERNAME=your_salesforce_username
   PASSWORD=your_salesforce_password
   SECURITY_TOKEN=your_salesforce_security_token
   CONSUMER_KEY=your_salesforce_consumer_key
   CONSUMER_SECRET=your_salesforce_consumer_secret
   
   # ClickUp
   CLICKUP_API_URL=your_clickup_api_url
   CLICKUP_API_TOKEN=your_clickup_api_token

5. Run the backend server:

   uvicorn api:app --reload

1. Navigate to the frontend directory:

   cd ../support-sync-frontend

2. Install dependencies:

   npm install

3. Run the frontend development server:

   npm run dev

If you prefer using Docker, follow these steps:

1. Ensure you have Docker and Docker Compose installed on your system.

2. Configure the .env file as mentioned in the Backend Setup section.

3. From the root directory, run:

   docker-compose up --build

4. Once the build is complete, you'll see the port number in the console where the application is running.

1. Access the SupportSync dashboard through your browser.
2. Connect your ticketing platforms (JIRA, ClickUp, Salesforce).
3. View and select tickets from the unified dashboard.
4. Click on a ticket to see the AI-generated solution.
5. Use the chatbot for more detailed discussions or clarifications.

• Backend: Python, FastAPI, LLMs (Llama 3.2 90B), VectorDB
• Frontend: Vite.js, Tailwind CSS, Framer Motion, shadcn/ui
• Database: Pinecone (Vector Database)
• AI: GROQ API (Llama 3.2 90B Text Preview Model)
• Containerization: Docker

1. Ticket Collection: SupportSync gathers tickets from JIRA, ClickUp, and Salesforce.
2. Context Analysis: The system analyzes past solved tickets related to the current issue.
3. AI Solution Generation: Using the Llama 3.2 90B model, SupportSync generates a solution, considering the historical context.
4. Interactive Refinement: Users can further discuss the issue with the AI chatbot for more detailed solutions.

This project is designed for streamlining support processes. Please ensure you have the necessary permissions to access and process ticket data from the integrated platforms.

Contributions, issues, and feature requests are welcome! Feel free to check issues page.

This project is AGPL-3.0 licensed.