Objective: Develop a script to transcribe videos from a local directory, convert them to audio files, and generate a combined transcript.
Repository: https://github.com/ekatraone/local_transcription
Steps:
- Traverse Local Directory:
- Implement a script to recursively search and identify video files within a specified directory structure.
- Convert Videos to Audio:
- Utilize ffmpeg to extract audio tracks from identified video files, ensuring compatibility and quality.
- Transcription Using Whisper:
- Integrate Whisper for local audio transcription, leveraging its accuracy and efficiency in converting speech to text.
- Cooling Time Implementation:
- Incorporate intervals between transcription tasks to prevent system overheating, enhancing long-term stability.
- Generate Combined Transcript:
- Merge individual transcriptions into a cohesive transcript document, ensuring clarity and coherence.
- Create Datasets Using GPT-2:
- Develop scripts to generate diverse datasets in instruction, completion, and chat styles using GPT-2, facilitating model training.
Tips and Potential Improvements:
- Error Handling: Implement robust error handling mechanisms to manage file inconsistencies and transcription failures.
- Performance Optimization: Optimize script performance with parallel processing for faster directory traversal and transcription tasks.
- Scalability: Consider scalability options for handling large volumes of video files and transcripts efficiently.
Objective: Create a script to transcribe videos from a specified YouTube channel, enhancing accessibility and searchability of content.
Repository: https://github.com/ekatraone/youtube_channel_transcription
Steps:
- Fetch Videos from YouTube Channel:
- Utilize YouTube Data API to retrieve video metadata and links based on the specified channel ID.
- Download Videos:
- Use youtube-dl tool to download videos locally, ensuring compliance with YouTube’s terms of service and API rate limits.
- Convert Videos to Audio:
- Employ ffmpeg for extracting audio from downloaded video files, ensuring uniformity in transcription inputs.
- Transcription Using Whisper:
- Implement Whisper for local transcription of audio files, ensuring high accuracy and minimal latency in generating text outputs.
- Generate Combined Transcript:
- Consolidate individual transcriptions into a unified document, maintaining chronological and contextual coherence.
- Create Datasets Using GPT-2:
- Develop diverse datasets in instruction, completion, and chat formats using GPT-2, enriching training data for AI models.
Tips and Potential Improvements:
- Download Optimization: Implement download resumption and error handling to manage interrupted downloads and ensure data integrity.
- Quality Assurance: Integrate validation checks for transcript accuracy and alignment with video content for enhanced usability.
- Automation: Explore automation tools for scheduled updates and new video processing to maintain content relevance.
Objective: Develop a secure local UI with authentication features and automated email reporting for enhanced user interaction and data management.
Repository: https://github.com/ekatraone/local_llm_ui_with_authentication
Steps:
- UI Development:
- Design and implement a user-friendly interface using Flask/Django, ensuring intuitive navigation and accessibility.
- Authentication Feature:
- Integrate OAuth or similar authentication mechanisms to secure user access and protect sensitive data.
- Chat Log Feature:
- Implement local storage for chat logs, ensuring data encryption and compliance with privacy regulations.
- Weekly Email Report:
- Develop a scheduled task to compile and send weekly chat logs to designated email addresses, enhancing user engagement and transparency.
Tips and Potential Improvements:
- Security Enhancements: Implement SSL/TLS encryption for secure data transmission and storage, safeguarding user information.
- User Feedback: Incorporate feedback mechanisms to iterate UI/UX design based on user preferences and usability testing.
- Integration Capabilities: Explore API integrations for seamless data exchange with external systems, enhancing functionality and scalability.
Objective: Ask Catalyst utilizes ChatGPT technology trained on Catalyst 2030 website data to enhance member engagement and facilitate community collaboration via WhatsApp, leveraging the Mobius codebase.
Repository: https://github.com/ekatraone/askcatalyst
Features:
- Respond to Member Inquiries:
- Provide detailed responses to member queries regarding Catalyst initiatives, goals, and community impact.
- Partner Identification:
- Assist in identifying potential partners within the Catalyst network based on shared interests and objectives.
Implementation:
- ChatGPT Integration: Integrate ChatGPT for natural language processing and response generation.
- WhatsApp Integration: Utilize WhatsApp API for seamless communication and user engagement.
Tips and Potential Improvements:
- Enhanced Personalization: Implement user profiling to tailor responses based on member preferences and historical interactions.
- Collaborative Filtering: Introduce collaborative filtering techniques to suggest relevant partners and collaborations dynamically.
Objective: The Grant Writing Support Tool leverages resources from the Social Change Innovators platform to aid grant writers within the Catalyst community, utilizing AI for enhanced user interaction and organization profiling.
Repository: https://github.com/ekatraone/Grant-Writing-Support-Tool
Features:
- User Interface Development:
- Design an intuitive interface for users to access grant writing resources effectively.
- Grant Proposal Assistance:
- Assist users in drafting grant proposals through interactive Q&A sessions, supporting voice, text, and file uploads.
- Organization Profiling:
- Create detailed profiles of user organizations based on input data and interaction history.
Implementation:
- AI Integration: Integrate AI models for analyzing user inputs, generating tailored responses, and profiling organizations.
- Voice Note Processing: Implement voice note transcription and analysis to capture detailed information efficiently.
Tips and Potential Improvements:
- Semantic Analysis: Incorporate semantic analysis to refine question prompts and improve response relevance.
- Scalability: Design for scalability to handle increasing user base and data volume effectively.
Objective: Develop a GPT-4.0 powered chatbot on WhatsApp to provide agricultural insights and facilitate bookkeeping tasks for farmers.
Repository: https://github.com/ekatraone/Agri-AI-Chatbot-on-WhatsApp
Features:
- Bookkeeping Integration:
- Capture and categorize transaction data from receipts for simplified bookkeeping and financial management.
- AI Tutoring:
- Provide agricultural insights and recommendations based on user queries, leveraging GPT-4.0 capabilities.
Implementation:
- WhatsApp Interface: Utilize WhatsApp API for interactive chatbot functionalities.
- AI Backend: Deploy GPT-4.0 models for natural language processing, bookkeeping integration, and agricultural expertise.
Tips and Potential Improvements:
- Image Recognition: Introduce image recognition capabilities for analyzing crop health and soil conditions from photos.
- Real-time Updates: Implement real-time updates on market prices and agricultural news to enhance user utility.
Objective: Build an AI tutor on WhatsApp using GPT-4.0 to provide interactive learning and support across text, image, and audio formats, with Whisper integration for audio transcription.
Repository: https://github.com/ekatraone/WhatsApp-AI-Tutor
Features:
- Multi-format Interaction:
- Support text, image, and audio inputs for interactive learning sessions.
- Whisper Integration:
- Enable audio transcription and analysis using Whisper technology for seamless user interactions.
- GPT-4.0 Voice Output:
- Utilize GPT-4.0 for generating voice-based responses to enhance user engagement and learning effectiveness.
Implementation:
- WhatsApp Integration: Integrate with WhatsApp for broad accessibility and user engagement.
- AI Backend: Deploy GPT-4.0 models for natural language understanding and response generation.
Tips and Potential Improvements:
- Personalized Learning Paths: Develop personalized learning paths based on user progress and interests.
- Feedback Mechanism: Incorporate feedback loops to adapt responses and content based on user interactions.
Objective: Develop AskShaperAI using ChatGPT technology tailored for the Global Shapers Community to enhance member engagement and support collaborative efforts, utilizing user profiles for enhanced partner recommendations.
Repository: https://github.com/ekatraone/AskShaperAI
Features:
- Community Engagement:
- Provide responses to member inquiries about Global Shapers initiatives and community projects.
- Partner Identification:
- Facilitate connections with potential collaborators within the Global Shapers network based on user profiles and interests.
Implementation:
- ChatGPT Customization: Customize ChatGPT for understanding specific Global Shapers topics and community dynamics.
- RAG Integration: Integrate with RAG (Retrieval-Augmented Generation) for improved partner search and recommendation.
Tips and Potential Improvements:
- Dynamic Partner Matching: Implement dynamic partner matching algorithms to suggest relevant connections in real-time.
- Continuous Learning: Incorporate continuous learning mechanisms to adapt to evolving community needs and member interactions.
Objective: Course-On-Prompt is a dynamic project for people with limited data resources. Whether you’re an aspiring professional, a curious learner, or seeking continuous growth, Course-On tailors its approach to your unique needs.
Repository: https://github.com/ekatraone/course-on-prompt-v1_1.1
Features:
- Enrollment and Goal Setting:
- You sign up on the platform, sharing your learning objectives like mastering a new programming language to understanding quantum mechanics. Course-On captures this information to create a customized learning journey.
- Daily Content Delivery:
- Each day, you receive learning modules in various formats:
- Text: Concise explanations, summaries, and key takeaways related to your chosen topics.
- Audio: Narrated content for those who prefer auditory learning.
- Images: Visual aids, infographics, and diagrams.
- Completion and Recognition:
- Upon completing the entire course, you receive a personalized Certificate of Appreciation.
- Monitoring and Progress Tracking:
- Detailed records of your activities like Module completion status, Time spent on each topic & Quiz scores are maintained.
Objective: Ask Catalyst utilizes ChatGPT technology trained on YC Combinator website data to enhance member engagement and facilitate community collaboration via WhatsApp, leveraging the Mobius codebase.
Repository: https://github.com/ekatraone/ask_yc_combinator
Features:
- Respond to Member Inquiries:
- Provide detailed responses to member queries regarding YC Combinator initiatives, goals, and community impact.
- Partner Identification:
- Assist in identifying potential partners within the YC Combinator network based on shared interests and objectives.
Implementation:
- ChatGPT Integration: Integrate ChatGPT for natural language processing and response generation.
- WhatsApp Integration: Utilize WhatsApp API for seamless communication and user engagement.
Tips and Potential Improvements:
- Enhanced Personalization: Implement user profiling to tailor responses based on member preferences and historical interactions.
- Collaborative Filtering: Introduce collaborative filtering techniques to suggest relevant partners and collaborations dynamically.
