GridGenius Dev Dashboard

Timeline: Jan - Apr 2025

Overview

Preprocessing (15) & collection (12) dominated early stages.

Model dev (14) & viz/EDA (10) received significant focus.

Strong focus on documentation (11) throughout.

Adib & Lishad (9 interactions) led core data/model tasks.

All member pairs showed good interaction (scores 3+).

Initiated dataset collection and scraping from BPDB PDFs.
Designed project logo, concept, and established brand visuals and identity.
Led creation of proposal, EDA, and literature review presentations (design + animation).
Performed major EDA tasks: feature engineering, renaming, correlation matrices, visualizations, zone-wise analysis.
Conducted in-depth research on Transformers, LoRA, RAG, and LLM integration.
Implemented and showcased custom chatbot integration (novel RAG pipeline, NO use of frameworks like LangChain/CrewAI).
Designed and Developed the entire websites, UI/UX flow, and final product planning.
Integrated backend APIs for Chatbot and Model predictions.
Deployed backend (Railway) and frontend (Vercel).
Finalized and launched the live website: grid-genius-project.vercel.app
Led documentation efforts for GridGenius's vision, platform design, and interactivity.
Coordinated multi-version demos and structured the GitHub repo.

Carried out early research on features and integrated weather + seasonal data.
Created and refined project pipeline and model selection.
Performed full-cycle data preprocessing: outlier detection, encoding, scaling.
Designed multiple dataset variants and led model experimentation (Random Forest, Linear Regression, Transformer, ARIMA/SARIMA).
Implemented and tuned the Transformer model, later improved it for better performance.
Worked on report writing, including the Introduction section.
Built backend logic for model inference and dataset generation for predictions.
Completed Python script for live predictions and paired actual vs predicted demand sets.

Proposed alternate ideas and explored datasets (e.g., earthquake).
Constructed the Gantt chart for project tracking.
Uploaded and curated research papers on energy use in neighboring countries.
Contributions in writing literature review: summarized novelties, shortcomings, and structure.
Reviewed IEEE formatting guidelines and contributed to writing the research paper draft.
Heavily involved in Documentation across the entire project pipeline.

Assisted with dataset search and learned core tools (Python, NumPy, Pandas).
Researched transformer-based models and seasonal energy demand forecasting.
Contributed to the literature review: summarized papers from UK, Germany, and neighboring countries.
Studied and documented use of LLMs, helped wireframe early HTML UI.
Wrote major parts of the final report, including the literature review and IEEE formatting.
Completed and submitted final report in IEEE format.

GridGenius Project Development Dashboard • Data visualized from Project Progress Log • April 2025