Describe your project

In-Scope Solutions:

• Personalized Roadmaps & Timelines: God Level AI provides tailored learning paths for coding, entrepreneurship, and marketing, adaptable to the user’s goals and skill levels. The platform offers a weekly timeline with a focus on practical learning.
• Profile Setup & Integration: Users can instantly create profiles by uploading their resumes and integrating GitHub for project retrieval. The platform analyzes skills and identifies knowledge gaps using a LeetCode-style gap analysis.
• AI-Powered Interview Assistance: An AI interview assistant helps users prepare for technical and HR interviews by simulating real-time scenarios, providing feedback on responses, and offering suggestions for improvement.
• Mentorship: Pay-to-talk access to senior developers, with payment required only upon successful job placement. This helps users receive personalized mentorship for job preparation.
• Course Attention & Skill Monitoring: The platform tracks users’ course completion rates, attention span, and overall skill improvement to provide better insights on their learning progress.
• Curated Content: God Level AI offers curated courses and resources to enhance skills and access industry-relevant job portals tailored to specific roles like becoming a frontend developer at companies such as AWS.
• Learn with Augmented Reality to learn with fun.
  Out of scope :
• In-Person Training: God Level AI is a fully digital platform with no physical workshops. All mentorship and courses are online.
• Non-Guaranteed Job Placement: While users receive valuable guidance and personalized roadmaps, job placement is not guaranteed.
  Future Opportunities:
• AI-Generated Video Content: Integrating AI to convert scripts (like those generated by Google Gemini) into engaging video content. This would feature AI tutors with human-like voices, making learning more interactive and visually appealing +
  Interactive Video Tutorials

Challenges I ran into

Converting Gemini Transcripts to Human Voice & Video: It was challenging to transform the Gemini-generated text into human-like voice and a video face that’s visually appealing, aiming to make the content more engaging.

Building Personalized Roadmaps: Crafting roadmaps was complex because it involved considering multiple factors such as skills, university, country, level of knowledge, syllabus, etc., to ensure each roadmap was truly personalized.

AI Interview Bot: Developing the bot to provide real-time speech recognition and feedback on answers during mock interviews was tricky, as it required seamless integration of both technologies.

Reducing Response Time for Flashcards: Optimizing the Gemini API’s response time for generating flashcards, while using a vector database to store and retrieve relevant data, proved challenging.