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June 2, 2025Intelligent Support for Tech Careers
In today’s volatile job market, where hiring freezes and layoffs continue to disrupt the tech landscape, new graduates face an uphill battle; especially women who remain underrepresented in the field. TechHerAI emerges as a purposeful response to this challenge: a nonprofit platform designed to level the playing field through the strategic use of artificial intelligence. With a clear mission to equip women with the tools they need to thrive, TechHerAI harnesses AI to close the opportunity gap with precision, sophistication, and scale.
TechHerAI centers on three key features that work in tandem to support women at the earliest stages of their careers. The first is its interactive mock interview system, a dynamic AI-powered tool that replicates the rhythm and structure of real-world interviews. Through a mix of behavioral, technical, and resume-specific questions, the system delivers not only a realistic interview simulation but also rich feedback afterwards.
Users gain access to question-level scoring, performance insights, and AI-generated answer samples tailored to their unique responses. This continuous feedback loop enables deeper self-reflection, promotes measurable growth, and instills confidence across repeated practice sessions.
The platform’s second major component; the resume-based cover letter generator solves a problem common to nearly every job seeker: the challenge of tailoring cover letters to each individual role. Rather than offering generic templates, this tool applies natural language processing to analyze both a user's resume and the target job description. The output is a professional, personalized letter that aligns with the tone, structure, and technical expectations of today’s hiring managers. By simplifying what is often the most time-consuming part of the application process, TechHerAI increases both productivity and quality in job submissions.
A third tool, the AI-powered job board, serves as a curated gateway to opportunity. In contrast to overwhelming lists of unrelated roles found on traditional job sites, this intelligent board aggregates relevant openings across platforms and ranks them based on the user’s skills, preferences, and prior interactions. With filters for skillsets, location, and job type, users can navigate directly toward opportunities that match their goals. As the system learns from user behavior, the board evolves into an increasingly precise career guide, helping candidates focus their energy where it counts.
Under the hood, TechHerAI’s infrastructure reflects serious engineering intent. Built with Python, FastAPI, and Hugging Face, the platform uses the DeepSeek language model, fine-tuned with supervised learning on curated resume–job description datasets. Reinforcement learning with human feedback (RLHF) was integrated to improve both semantic alignment and answer fluency. Following a round of testing by thirty users, the platform demonstrated clear gains in the quality of AI-generated content and the overall candidate experience.
At its core, TechHerAI blends advanced natural language processing with practical utility. It is not simply a collection of features, it is a considered solution to a systemic problem. By turning AI into a career partner for women entering the tech world, it lowers barriers and creates access in ways traditional methods cannot match. And while the platform stands firmly on technical foundations, its greater strength lies in its purpose: providing intelligent support where it’s most urgently needed.
As the tech sector continues to evolve, platforms like TechHerAI created by a trio of expert designers Jiazhao Shi, Chuanrui Li, and Donghui Zhang offer a model for how applied innovation can lead to tangible impact. This creative and opportune platform secured a well-deserved achievement in the 2025 NYX Awards proving that it can serve as a bridge between potential and opportunity built not only for performance but for progress.
Credits
Entry Title: TechHerAI: AI-Driven Tools to Empower Women in Tech
Entrants: Jiazhao Shi, Chuanrui Li, and Donghui Zhang
Winning Categories: Website — Web App
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