College.ai

College.ai is an advanced AI-powered platform that leverages OpenAI's ChatGPT and Google Gemini to provide a comprehensive set of tools for students, job seekers, and professionals. This project offers a range of functionalities, including AI-driven resume analysis, applicant tracking, contest tracking, and AI-powered document search.

Watch College.ai Demo

Table of Contents

• Introduction
• Features
• Dependencies
• Installation
• Getting Started
• Folder Structure
• Contributing
• License

Features

AI Interview (New in Version 2)

The AI Interview feature provides a real-time, voice-based assistant that helps users practice job interviews, learn languages, and refine communication skills. It integrates OpenAI's ChatGPT for conversational capabilities and supports bilingual conversations (English & Japanese). The assistant can process spoken input, detect language, translate, and provide text-to-speech feedback, making it a valuable tool for interview preparation and language learning.

Watch AI Interview Demo

Ask To PDF

This feature allows users to upload and train AI on PDFs, enabling contextual search and Q&A on document content. It uses Google Gemini embeddings and FAISS vector storage for efficient search and retrieval.

Resume Analyzer

The Resume Analyzer evaluates resumes against industry standards and job descriptions. It provides skill recommendations, improvement suggestions, and career guidance based on AI analysis.

Applicant Tracking System (ATS)

This system helps job seekers match their resumes with job descriptions, highlighting missing keywords and scoring profile compatibility.

Contest Calendar

A centralized dashboard that tracks upcoming coding competitions from platforms like LeetCode, Codeforces, CodeChef, and GeeksforGeeks.

Job Tracker

Allows users to track job applications, update their statuses, and maintain an organized record of their job search progress.

Project & Research Paper Ideas

Generates AI-suggested project ideas based on selected domains (Software Engineering, AI/ML, Electrical Engineering, etc.). Also fetches relevant research papers from sources like Google Scholar.

Prompt Examples

Provides structured examples for prompt engineering, guiding users on how to frame AI queries effectively.

Technology Stack

• Natural Language Processing: OpenAI ChatGPT-4, Google Gemini
• Vector Search: FAISS for embedding-based document retrieval
• Web Application: Streamlit for UI and backend integration
• Databases: SQLite for user and job tracking data
• Text Processing: LangChain, PyPDF2 for PDF parsing
• Speech Processing: gTTS for text-to-speech, SpeechRecognition for voice input

Installation

Clone the repository:

git clone https://github.com/SurajSanap/College.ai.git
cd College.ai

Install dependencies:

pip install -r requirements.txt

Run the application:

streamlit run app.py

Contribution

If you'd like to contribute to College.ai, please follow these steps:

1. Fork the repository.
2. Create a new branch for your feature or bug fix.
3. Make changes and commit them.
4. Push your changes to your fork.
5. Create a pull request.

License

This project is licensed under the MIT License.

📄 Documentation

Explore our comprehensive documentation in the LEARN.md file, which serves as a detailed guide to understanding and contributing to College.ai.

🌟 Join Us

Ready to embark on a journey of collaborative learning? Join College.ai now and be a part of a community that believes in the power of collaboration!

Thank you for contributing to our open-source project! We appreciate your support.

Don't forget to leave a star ⭐

Happy Coding!

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