A curated mix of cutting-edge AI/ML experiments and full-stack applications highlighting my diverse skill set.
Python, Pandas, Scikit‑Learn, Data Visualization
- Analyzes 5 years of Delhi AQI data to forecast hourly, daily, and monthly air quality.
- Built regression models and visual dashboards; comprehensive EDA and interpretation.
Python, Ollama (Gemma 7b), Time‑Series Analysis
- Developed AI-driven forecasting for AQI at various Delhi locations.
- Utilized custom models with Ollama and performed thorough temporal analysis.
Python, Collaborative Filtering, Similarity Metrics
- Recommends items based on user purchase history using similarity algorithms.
- Notebook walkthrough with evaluation metrics and model snapshots.
Python, LLMs, AI‑Driven Candidate Evaluation
- AI assistant for hiring: configurable personas, conversation memory, intelligent evaluations.
- Modular backend design—great for recruiter workflows and automation.
React, Node.js, Express, MongoDB
- Simplifies hostel room assignments with batch-aware logic and roommate matching via unique keys.
- Live demo hosted on Vercel—intuitive UI and robust API integration.
Python, FastAPI, APScheduler
- RESTful API for scheduling and automating emails.
- Highly modular, scalable backend—perfect for integration into larger systems.
Python, Gemini (Ollama), React, Node.js
- AI-guided learning roadmap generator with interactive UI and community connections.
- User responses feed LLM prompts; roadmap saved and scheduled in-app.