AI in Healthcare Research
Score: 94%
Women in STEM Grant
Deadline: Aug 30
Sustainability Fellowship
$50K Award
Govt. Innovation Fund
Category: Tech
An RPA + AI-powered platform that identifies relevant grants, matches them to faculty profiles, and automates timely notifications.
Built with UiPath, Python, Flask, NLP, and workflow automation to reduce manual effort and increase research opportunity visibility.
Researchers and faculty are losing opportunities because of outdated, manual processes.
Grant data is dispersed across hundreds of websites, databases, and portals with no centralized access.
Faculty spend countless hours manually searching for relevant funding instead of focusing on research.
Relevant grants go unnoticed due to delayed tracking and lack of personalized discovery mechanisms.
Critical application deadlines are missed because there's no automated tracking or reminder system.
Opportunities fail to reach the right researchers due to inefficient institutional communication channels.
Generic announcements don't match individual expertise, leading to irrelevant and overwhelming notifications.
A complete RPA + AI pipeline that transforms how research grants are discovered, matched, and communicated.
Auto-collect from multiple sources
NLP-powered data parsing
AI relevance scoring
Personalized email alerts
Centralized spreadsheet logging
From scattered grant data to personalized notifications — fully automated.
Collect grant information from selected online sources using RPA bots that scan platforms 24/7.
Extract title, description, eligibility, deadline, category, and keywords from each grant listing.
Read and process faculty/researcher profile data including areas of expertise and research interests.
Use TF-IDF and cosine similarity to calculate relevance scores between grant descriptions and profiles.
Send personalized email alerts for high-relevance opportunities directly to the right researchers.
Store all results in Google Sheets / Excel / database for institutional tracking and analytics.
A modular architecture connecting data sources, processing engines, and delivery systems.
Websites, databases, and portals where grant opportunities are published
Automated web scraping and data collection orchestrated by UiPath
Structured parsing of grant details into standardized format
Core NLP processing, TF-IDF vectorization, and similarity computation
RESTful API layer for module communication and integration
Cosine similarity calculation producing match percentages
Automated email sending for matched opportunities
Centralized result storage for tracking and analysis
Faculty members and researchers receiving personalized alerts
Every feature is designed to automate, optimize, and personalize the grant discovery experience.
RPA bots scan and collect grant data from multiple online sources continuously.
NLP-powered matching connects faculty expertise with grant requirements.
TF-IDF and cosine similarity produce precise relevance percentages.
Personalized email alerts sent automatically for high-relevance matches.
All matches and results logged in Google Sheets for complete tracking.
Eliminate manual search and reduce hours of effort to minutes of processing.
Each researcher receives only the most relevant opportunities for their domain.
Modular design allows easy extension with new sources, profiles, and channels.
A carefully selected technology stack for reliability, intelligence, and scalability.
RPA Automation
Core Processing
API Framework
Text Vectorization
Match Scoring
Data Logging
Notification Engine
Natural Language
Each module handles a specific function in the automation pipeline.
UiPath-powered collection module that crawls and extracts grant data from designated sources.
Processes faculty research profiles, extracting key expertise areas and interest domains.
Core NLP module computing TF-IDF vectors and cosine similarity between grants and profiles.
Automated email dispatch system sending personalized alerts for high-relevance matches.
Google Sheets integration for persistent storage, audit trails, and process monitoring.
Management interface for configuring sources, profiles, thresholds, and viewing analytics.
A preview of how the system matches researchers with relevant grants.
Associate Professor, CS Dept.
Machine learning in medical diagnosis, NLP for clinical texts, predictive health analytics
Aug 30, 2025
Healthcare Innovation
GrantMatch AI Alert
noreply@grantmatch.ai
Dear Dr. Sharma,
A new research grant matching your profile has been discovered:
→ AI for Public Health Research Grant
Relevance: 92% · Deadline: Aug 30
| Researcher | Grant Title | Score | Status | Notified |
|---|---|---|---|---|
| Dr. A. Sharma | AI for Public Health Research Grant | 92% | Matched | ✓ Sent |
| Dr. R. Patel | Sustainability Research Fellowship | 87% | Matched | ✓ Sent |
| Prof. M. Kumar | Women in STEM Innovation Grant | 76% | Moderate | ✓ Sent |
| Dr. S. Iyer | Government Innovation Funding | 65% | Low | Pending |
Measurable improvements in efficiency, relevance, and opportunity visibility.
6-Step
Smart Workflow
AI
Powered Matching
Auto
Alerts
RPA
Driven Process
Central
Logging
Scalable
Design
Eliminates hours of manual grant searching, letting faculty focus on what matters — research.
Automated 24/7 scanning ensures no relevant funding opportunity goes unnoticed.
AI-based matching ensures researchers only see opportunities aligned with their expertise.
Automating repetitive processes frees researchers to focus on impactful work.
RPA handles the tedious manual steps of searching, extracting, and notifying.
Centralized logging gives institutions complete visibility into available funding.
From individual researchers to entire institutions — everyone benefits.
Receive personalized grant alerts matched to your specific research domain and expertise.
Discover funding opportunities for doctoral and post-doctoral research projects.
Centrally manage and track all grant opportunities across departments.
Improve institutional funding visibility and research output metrics.
Find grants aligned with emerging technology innovation and applied research.
Streamline communication of opportunities across research teams.
Preview the system interfaces, workflows, and outputs.
UiPath orchestrating the grant scraping pipeline
Profile-to-grant relevance scoring visualization
Personalized alert email sent to researchers
Google Sheets integration for centralized tracking
End-to-end pipeline visual overview
Management and analytics interface preview
Common questions about the system, its capabilities, and implementation.
The system addresses the fragmented, manual process of discovering research grants. Faculty and researchers currently spend significant time searching multiple sources, often missing relevant opportunities. Our platform automates this entire process — from discovery to notification — ensuring no opportunity is missed.
The matching engine uses TF-IDF (Term Frequency-Inverse Document Frequency) to vectorize both grant descriptions and faculty profiles. It then computes cosine similarity between these vectors, producing a relevance score from 0-100%. Higher scores indicate stronger alignment between a researcher's expertise and a grant's requirements.
RPA (via UiPath) handles the repetitive task of navigating websites, extracting data, and interfacing with web platforms that don't offer APIs. This allows the system to collect grant data from diverse sources automatically, without manual intervention, operating 24/7 with high reliability.
The stack includes UiPath for RPA, Python for the matching engine, Flask for the API layer, TF-IDF and cosine similarity for NLP matching, Google Sheets API for logging, and SMTP for email notifications. The modular architecture allows for easy integration with additional technologies.
Yes. The modular design separates grant discovery, matching, notification, and logging into independent modules. New grant sources can be added by configuring additional UiPath workflows. Additional researcher profiles simply require updating the profile data store. The Flask API and Google Sheets integration support multi-user concurrent access.
High-relevance matches trigger automated email notifications to the respective researchers, including grant details, relevance score, and deadline. All results — matched or not — are logged into Google Sheets, providing a complete audit trail and enabling institutional analytics on funding opportunities.
Stop spending hours searching for grants. Let AI and RPA find, match, and notify you of the right opportunities — automatically.