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Bank Loan Project Report
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Bank statement analysis for lenders: cash-flow signals, tamper screening and a Financial Health Score

Create iOS and Android apps with React and Ionic

Website, pricing, platforms and company facts side by side.
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| Website | dharaiq.in | reactionic.github.io |
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As answered by people managing DharaIQ.in and React-Ionic.
DharaIQ.in's answer
DharaIQ is built only for Indian bank statements and Indian lending checks. Prices are public, so a DSA or CA can start without a sales call. The Financial Health Score method is published on our website, so a credit team can see how the score is built instead of trusting a black box. Each result records the version of the decision policy that was applied, and the tamper screen flags signs of PDF editing as an advisory signal for the reviewer, not as an automatic rejection.
DharaIQ.in's answer
Choose DharaIQ if you want a bank statement analyser you can start using today: public prices, pay per statement or a prepaid plan, and no sales call to get started. The same analysis is available in the web portal and through a REST API with signed webhooks on the Custom plan. It is a good fit for DSAs, CAs and smaller NBFC credit teams that need income, obligation and bounce signals, a tamper screen and an Excel export, with a scoring method they can read.
DharaIQ.in's answer
Credit and underwriting teams at Indian banks, NBFCs and fintech lenders; DSAs and loan consultants who prepare loan files before they go to the lender; and chartered accountants who review cash flow, reconcile bank credits with declared turnover, or prepare audit evidence.
DharaIQ.in's answer
Loan files in India still depend on someone reading bank statement PDFs line by line: finding salary credits, EMIs, card payments and cheque returns, then working out FOIR and average balance by hand. DharaIQ started in Delhi in 2026 to turn that work into a structured, repeatable check that a credit team can review and explain. We also publish free tools, a FOIR calculator and an average bank balance calculator, and guides on the checks lenders run on a statement.
DharaIQ.in's answer
PHP and Laravel on the backend, MySQL, Redis for caching and queues, and a React web console. Statement analysis combines rule-based parsing of the transactions with an AI model; long ID numbers are masked before the text reaches the model.
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