Custom Gen AI Application Development
Budget: ₹1,500 – ₹12,500 INR
I need a proficient Python developer with substantial experience in AI application development to create an engaging Custom Gen AI Application.
1. Overview:
Develop a custom AI application capable of extracting content from PDF documents and images to generate questions and notes. The application will utilize either the GPT-4 or Gemini API for natural language processing and generation tasks. Additionally, the application should provide functionality for correcting PDFs/images and enable users to download corrected answers and notes.
2. Functional Requirements:
2.1 Content Extraction:
The application must be able to extract text content from PDF documents and images accurately.
Extracted content should be processed to identify key concepts, facts, and details for question and note generation.
2.2 Question Generation:
Utilize the GPT-4 or Gemini API to generate questions based on the extracted content.
Questions should cover a range of difficulty levels and types (e.g., multiple-choice, short answer, essay).
2.3 Note Generation:
Generate concise and informative notes summarizing the extracted content.
Notes should be organized logically and cover essential points comprehensively.
2.4 Correction Functionality:
Provide users with the option to correct PDFs/images for accuracy and readability.
Implement tools for editing text, annotating, highlighting, and adding comments to facilitate corrections.
2.5 Download Options:
Users should have the ability to download corrected answers and notes in various formats (e.g., PDF, Word document, text file).
Downloaded content should be well-formatted and easily accessible for printing or further study.
3. Non-Functional Requirements:
3.1 Accuracy:
Ensure high accuracy in content extraction, question generation, and note summarization to provide reliable study materials.
3.2 Performance:
Optimize application performance to handle large PDF documents and images efficiently.
Minimize processing time for content extraction and generation tasks to provide a seamless user experience.
3.3 Security:
Implement robust security measures to protect user data and ensure confidentiality.
Secure data transmission and storage to prevent unauthorized access or data breaches.
3.4 User Interface:
Design an intuitive and user-friendly interface that enables easy navigation and interaction with the application features.
Provide clear instructions and feedback to guide users through the content extraction, generation, correction, and download processes.
3.5 Compatibility:
Ensure compatibility with a range of devices and operating systems to maximize accessibility for users.
Support integration with popular file storage platforms (e.g., Google Drive, Dropbox) for seamless document management.
4. Additional Considerations:
Explore options for integrating additional features such as language translation, audio summaries, and citation generation to enhance the utility of the application.
Conduct thorough testing to identify and address any bugs, errors, or performance issues before deployment.
5. Constraints:
Adhere to relevant legal and ethical guidelines governing the use of AI technologies, data privacy, and intellectual property rights.
Ensure compliance with any API usage terms and conditions set forth by the providers (e.g., OpenAI for GPT-4, Gemini API).
6. Deliverables:
Fully functional custom AI application capable of content extraction, question and note generation, correction functionality, and download options.
Documentation including user guides, technical specifications, and API integration instructions.
Deployment package for installation on designated servers or cloud platforms.
Key Responsibilities:
- Develop a Custom Gen AI Application using Python.
- Continuously extend the application functionalities as per requirement.
Ideal Candidate:
- Expert in Python programming for AI applications.
- Significant experience in AI project development and deployment.
To apply, you should:
- Provide details about previous AI application development projects carried out with Python.
- Elaborate on your experience, complexity of projects worked previously, and solutions provided.
Considering the technologies demanded for this project, the ideal candidate must be familiar with emerging AI technologies and skilled in integrating those on a Python platform. Only experienced developers are requested to apply.
1. Overview:
Develop a custom AI application capable of extracting content from PDF documents and images to generate questions and notes. The application will utilize either the GPT-4 or Gemini API for natural language processing and generation tasks. Additionally, the application should provide functionality for correcting PDFs/images and enable users to download corrected answers and notes.
2. Functional Requirements:
2.1 Content Extraction:
The application must be able to extract text content from PDF documents and images accurately.
Extracted content should be processed to identify key concepts, facts, and details for question and note generation.
2.2 Question Generation:
Utilize the GPT-4 or Gemini API to generate questions based on the extracted content.
Questions should cover a range of difficulty levels and types (e.g., multiple-choice, short answer, essay).
2.3 Note Generation:
Generate concise and informative notes summarizing the extracted content.
Notes should be organized logically and cover essential points comprehensively.
2.4 Correction Functionality:
Provide users with the option to correct PDFs/images for accuracy and readability.
Implement tools for editing text, annotating, highlighting, and adding comments to facilitate corrections.
2.5 Download Options:
Users should have the ability to download corrected answers and notes in various formats (e.g., PDF, Word document, text file).
Downloaded content should be well-formatted and easily accessible for printing or further study.
3. Non-Functional Requirements:
3.1 Accuracy:
Ensure high accuracy in content extraction, question generation, and note summarization to provide reliable study materials.
3.2 Performance:
Optimize application performance to handle large PDF documents and images efficiently.
Minimize processing time for content extraction and generation tasks to provide a seamless user experience.
3.3 Security:
Implement robust security measures to protect user data and ensure confidentiality.
Secure data transmission and storage to prevent unauthorized access or data breaches.
3.4 User Interface:
Design an intuitive and user-friendly interface that enables easy navigation and interaction with the application features.
Provide clear instructions and feedback to guide users through the content extraction, generation, correction, and download processes.
3.5 Compatibility:
Ensure compatibility with a range of devices and operating systems to maximize accessibility for users.
Support integration with popular file storage platforms (e.g., Google Drive, Dropbox) for seamless document management.
4. Additional Considerations:
Explore options for integrating additional features such as language translation, audio summaries, and citation generation to enhance the utility of the application.
Conduct thorough testing to identify and address any bugs, errors, or performance issues before deployment.
5. Constraints:
Adhere to relevant legal and ethical guidelines governing the use of AI technologies, data privacy, and intellectual property rights.
Ensure compliance with any API usage terms and conditions set forth by the providers (e.g., OpenAI for GPT-4, Gemini API).
6. Deliverables:
Fully functional custom AI application capable of content extraction, question and note generation, correction functionality, and download options.
Documentation including user guides, technical specifications, and API integration instructions.
Deployment package for installation on designated servers or cloud platforms.
Key Responsibilities:
- Develop a Custom Gen AI Application using Python.
- Continuously extend the application functionalities as per requirement.
Ideal Candidate:
- Expert in Python programming for AI applications.
- Significant experience in AI project development and deployment.
To apply, you should:
- Provide details about previous AI application development projects carried out with Python.
- Elaborate on your experience, complexity of projects worked previously, and solutions provided.
Considering the technologies demanded for this project, the ideal candidate must be familiar with emerging AI technologies and skilled in integrating those on a Python platform. Only experienced developers are requested to apply.