Rushil D Rane

Work

Tattva, essence

Selected work

A collection of projects, research explorations, and competitive experiences spanning engineering, software, sustainability, blockchain, and emerging technologies.

01 Make

CampusFund

A blockchain-powered funding platform that helps student innovators secure milestone-based funding while keeping long-term ownership and transparency.

  • Blockchain
  • FinTech
  • Innovation
Fig. 1aCampusFund, presented
A presenter holding a laptop stands beside a large screen showing a slide titled Introducing CampusFund.
  1. Student innovatorSets the milestones
  2. FundersCommit capital
  3. Milestone metFunds are released
  4. LedgerEvery transfer on record
Fig. 1bHow the money moves

02 Make

AirTrace

A community-driven system for industrial emission transparency. It brings together citizen reporting, AQI data and AI-assisted environmental analysis.

  • Sustainability
  • AI
  • Data
  1. Citizen reportsWhat people see
  2. AQI dataWhat sensors measure
  3. AI-assisted analysisBoth, read together
  4. TransparencyIndustrial emissions in public view
Fig. 2How a report becomes evidence

03 Make

CyberShield AI

An AI-powered portal designed to help women report cybercrimes securely and anonymously. It structures free-text, unstructured input into formal, investigation-ready PDFs, lowering the friction of approaching the authorities.

Built at
Women in Cloud Hackathon
Team
Team HerProxy
  • AI
  • Cybercrime Reporting
  • Anonymity
  1. Anonymous reportFree text, unstructured
  2. AI structuringPut into a formal shape
  3. PDFInvestigation-ready
  4. AuthoritiesLess friction to approach
Fig. 3How a report takes shape

04 Make

AvioReq

AI-powered requirements engineering for avionics systems

An entirely on-premise AI pipeline that uses local open-weight models to map dependencies, cluster avionics requirements and detect structural anomalies for aerospace systems. It runs completely offline, to comply with strict aerospace data-sensitivity constraints.

Built at
Honeywell Hackathon
Models
Qwen2.5, DeepSeek
  • Aerospace
  • AI
  • On-Premise
  1. Avionics requirementsWhat goes in
  2. Local open-weight modelsQwen2.5 and DeepSeek, on-premise
  3. Dependencies, clusters, anomaliesWhat comes out
Fig. 4What the pipeline does, offline

WinRecognition

  1. Prompt Masters

    3rd place

  2. Inflection 2026

    Top 4 finalist, Innovation & Problem Solving

  3. Neurocore 2026

    Participant

Currently building. Currently learning. More coming soon.