Kushal Pandya

Student Expense Tracker

This is a Python command-line Student Expense Tracker. It runs with the Python standard library only, with no database or web framework required. How to run: python student_expense_tracker.py The program includes 3 sample expenses on first run, so reviewers can immediately view expenses, total spending, and highest spending category. It also includes the bonus monthly budget warning feature. Expenses and budget are saved locally in expenses_data.json so data remains available after closing the program.

MemoryVerse AI '26

MemoryVerse AI is a fully local, zero-cost AI system. No paid API keys required. Setup to test locally: 1. Install Ollama -> run: ollama pull mistral 2. Download Qdrant binary -> run: qdrant.exe 3. pip install -r requirements.txt 4. uvicorn backend.main:app --reload --port 8000 5. cd frontend -> npm install -> npm start 6. Open http://localhost:3000 Demo user_id: u_test_01 (pre-loaded in the UI) Key things to evaluate: - Upload any PDF/DOCX on the Upload page -> watch live processing log - Ask natural language questions on Dashboard -> see cited answers with confidence scores - Click Knowledge Graph -> Rebuild Graph -> click any node to see connections - Gap Analyst -> select "ML Engineer" -> see skill radar + learning roadmap - Interview Coach -> generate Technical question -> submit answer -> get STAR feedback All 5 hackathon modules implemented + 2 beyond-the-brief features. RAG pipeline uses hybrid search (Dense + BM25 + RRF fusion) -> visible in search result scores.

IPL_match_analytics

IPL matches are shaped far more by consistent middle over performance, wicket preservation, and strike rotation than by toss advantage.

Toss winner win Rate51.5%