CareerCraftML

What it does

This project incorporates quite a number of innovative features aimed at increasing user interaction and provision of real aid in different domains. Among them are the following:

Chat with Notes: Upload your PDF files with notes and interact with those notes by asking questions to create an enriched learning experience. This feature is also added with note summarization so that the user can get the gist of the key points of their PDF file. The back-end has been done, while the front-end is in development.

Resume Enhancement Suggestions Using LLM: This feature helps job seekers with real-time suggestions for resume improvement. It provides suggestions to enhance formatting, talks about relevant experience or skill, and mentions other certifications or experiences that would add more value to a resume. It thus helps in building strong resumes.

Context-Based Mock Interviews: It generates a real interview setting wherein speech-to-text can transcribe the responses. Based on text input, various follow-up questions are generated. Again, these new questions are vocalized by text-to-speech technology, which completes the interactive loop. Hence, through such functionality, users will be able to practice and get continuous feedback to prepare themselves for any real interviews.

These thus shall give overall support to the student or job seeker in learning, career planning, job applications, etc. All these features are realised with Gemini API and Python Flask.