AI-Driven Career Guidance Application Development

Project Title: Development of an AI-Powered Career Counselor Application Project Overview: We are looking for an experienced and skilled developer/team to create a comprehensive AI-Powered Career Counselor Application. The platform will assist users in making informed career decisions by leveraging Artificial Intelligence (AI) and Machine Learning (ML). The system will provide features like resume parsing, job trend analysis, skill gap identification, career path prediction, and an interactive AI chatbot. Additionally, the system will include a sentiment analysis feature to assess user emotions and provide more personalized recommendations. Key Features and Requirements: Phase 1: Foundational Modules (Mini Project) Resume Parsing and Preprocessing Extract and preprocess key details (e.g., skills, education, experience) from resumes in various formats (PDF, Word, etc.). Detect and correct formatting issues (e.g., inconsistent fonts, alignment). Tech Stack: Python, NLP (spaCy, pandas, pdfplumber). Keyword Detection and Job Trends Analysis Scrape job portal data or integrate APIs (LinkedIn, Glassdoor) to identify high-demand industries, trending roles, and skills. Generate visual reports for job market trends. Tech Stack: Web scraping tools (BeautifulSoup, Selenium), data visualization libraries (matplotlib, seaborn), NLP. Deliverable for Phase 1: A functional web platform with: User login/registration system. Resume upload and analysis feature. Keyword scanning to match resumes with job market demands. Phase 2: Advanced Modules (Major Project) Skill Gap Analysis Match users’ skills with market requirements and identify gaps. Suggest personalized resources (e.g., courses, certifications) to bridge the gaps. Tech Stack: NLP, Recommendation systems (gensim, scikit-learn). Career Path Prediction Predict optimal career paths using ML models based on user skills, preferences, and market trends. Provide career options with success probabilities. Tech Stack: ML models (Decision Trees, Random Forest, Neural Networks), TensorFlow, PyTorch. AI-Powered Career Counselor Interface Develop an intuitive dashboard for users to view recommendations, skill-building suggestions, and job trends. Allow users to update/upload resumes for refined suggestions. Tech Stack: Frontend (React, Angular, or Flutter), Backend (Django, Flask), REST APIs. AI-Powered Career Counseling Chatbot Create a chatbot capable of answering career-related queries and fetching personalized recommendations. Leverage NLP for contextual understanding. Tech Stack: NLP (Rasa, Dialogflow), Backend (Flask/Django REST APIs), Frontend Integration (Web/Mobile App). Sentiment Analysis Feature Analyze users’ sentiment based on their interactions and feedback. Use sentiment analysis to fine-tune recommendations for career counseling. Tech Stack: NLP, Sentiment analysis libraries (VADER, TextBlob). Deliverable for Phase 2: Fully integrated AI-Powered Career Counseling Platform with: Advanced career path prediction and skill gap analysis. AI chatbot for interactive career guidance. User-friendly dashboard with real-time job trends and personalized insights. Sentiment analysis capabilities for enhanced user engagement. Additional Requirements: Scalability: The platform should handle multiple users and real-time data processing. Security: Implement OAuth2 for login and encrypt sensitive data (e.g., bcrypt for passwords). Deployment: Use cloud platforms (AWS/GCP) and containerization tools (Docker/Kubernetes). Regular Updates: Ensure periodic updates to job market insights and career recommendations. Target Audience: Students: To identify skills required for desired career paths. Fresh Graduates: To explore job opportunities aligned with their skills and qualifications. Professionals: To identify skill gaps and plan career advancements effectively. Required Skills and Experience: Proficiency in AI/ML, NLP, and web development. Expertise in tools like Python, TensorFlow, PyTorch, Django/Flask, React/Angular. Experience with web scraping, APIs, and data visualization. Familiarity with sentiment analysis techniques. Strong understanding of secure login systems and cloud deployment. Budget and Timeline: Budget: 100 TO 150$ Timeline: phase 1 = 1 month, phase 2 = 2 months Proposal Requirements: When submitting your proposal, please include: Relevant experience and portfolio of similar projects. Your approach to building the platform. Estimated timeline and cost breakdown. Technologies/tools you plan to use. PS: I am a college student so application does not have to be “the perfect”